Overview

Dataset statistics

Number of variables19
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory168.0 B

Variable types

Numeric8
Categorical9
Text2

Dataset

Description국립자연휴양림 43개소의 예약 홈페이지 운영 및 관리를 위한 우선예약 및 추첨예약 상품의 기관아이디,기관,정책구분,정책명,신청기간,시설사용대상기간,지역,위도,경도,연락처,홈페이지주소,상품명,성수기평일가격,성수기주말가격,비수기평일가격,비수기주말가격,추첨대상확인,비고 등의 정보 제공합니다.
Author산림청 국립자연휴양림관리소
URLhttps://www.data.go.kr/data/15091720/fileData.do

Alerts

비고 has constant value ""Constant
추첨대상확인 is highly overall correlated with 정책구분 and 1 other fieldsHigh correlation
시설사용대상기간 is highly overall correlated with 신청기간High correlation
기관명 is highly overall correlated with 기관아이디 and 6 other fieldsHigh correlation
홈페이지주소 is highly overall correlated with 기관아이디 and 6 other fieldsHigh correlation
신청기간 is highly overall correlated with 정책구분 and 2 other fieldsHigh correlation
지역 is highly overall correlated with 기관위도 and 4 other fieldsHigh correlation
연락처 is highly overall correlated with 기관아이디 and 6 other fieldsHigh correlation
정책구분 is highly overall correlated with 기관명 and 4 other fieldsHigh correlation
기관아이디 is highly overall correlated with 기관명 and 2 other fieldsHigh correlation
기관위도 is highly overall correlated with 기관명 and 3 other fieldsHigh correlation
기관경도 is highly overall correlated with 기관명 and 3 other fieldsHigh correlation
성수기평일가격 is highly overall correlated with 성수기주말가격 and 2 other fieldsHigh correlation
성수기주말가격 is highly overall correlated with 성수기평일가격 and 2 other fieldsHigh correlation
비수기평일가격 is highly overall correlated with 성수기평일가격 and 2 other fieldsHigh correlation
비수기주말가격 is highly overall correlated with 성수기평일가격 and 2 other fieldsHigh correlation
정책구분 is highly imbalanced (83.2%)Imbalance
추첨대상확인 is highly imbalanced (74.9%)Imbalance

Reproduction

Analysis started2024-03-15 01:41:23.844519
Analysis finished2024-03-15 01:41:49.963101
Duration26.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관아이디
Real number (ℝ)

HIGH CORRELATION 

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167.3506
Minimum101
Maximum303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:41:50.161821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1108
median183
Q3195
95-th percentile300
Maximum303
Range202
Interquartile range (IQR)87

Descriptive statistics

Standard deviation57.352697
Coefficient of variation (CV)0.34270984
Kurtosis-0.54982073
Mean167.3506
Median Absolute Deviation (MAD)60
Skewness0.4823229
Sum1673506
Variance3289.3318
MonotonicityNot monotonic
2024-03-15T10:41:50.629404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
101 708
 
7.1%
183 523
 
5.2%
187 465
 
4.7%
103 381
 
3.8%
106 334
 
3.3%
111 327
 
3.3%
112 325
 
3.2%
195 316
 
3.2%
107 300
 
3.0%
113 290
 
2.9%
Other values (35) 6031
60.3%
ValueCountFrequency (%)
101 708
7.1%
102 170
 
1.7%
103 381
3.8%
104 109
 
1.1%
105 267
 
2.7%
106 334
3.3%
107 300
3.0%
108 232
 
2.3%
109 132
 
1.3%
110 110
 
1.1%
ValueCountFrequency (%)
303 83
 
0.8%
302 77
 
0.8%
301 248
2.5%
300 151
1.5%
245 185
1.8%
244 178
1.8%
243 188
1.9%
242 150
1.5%
224 111
1.1%
223 92
 
0.9%

기관명
Categorical

HIGH CORRELATION 

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
유명산 자연휴양림
 
708
청옥산 자연휴양림
 
523
희리산 자연휴양림
 
465
산음 자연휴양림
 
381
청태산 자연휴양림
 
334
Other values (40)
7589 

Length

Max length13
Median length9
Mean length9.0079
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지리산 자연휴양림
2nd row칠보산 자연휴양림
3rd row산음 자연휴양림
4th row유명산 자연휴양림
5th row운문산 자연휴양림

Common Values

ValueCountFrequency (%)
유명산 자연휴양림 708
 
7.1%
청옥산 자연휴양림 523
 
5.2%
희리산 자연휴양림 465
 
4.7%
산음 자연휴양림 381
 
3.8%
청태산 자연휴양림 334
 
3.3%
대관령 자연휴양림 327
 
3.3%
미천골 자연휴양림 325
 
3.2%
운문산 자연휴양림 316
 
3.2%
삼봉 자연휴양림 300
 
3.0%
가리왕산 자연휴양림 290
 
2.9%
Other values (35) 6031
60.3%

Length

2024-03-15T10:41:50.994037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자연휴양림 9417
47.7%
유명산 708
 
3.6%
청옥산 523
 
2.6%
희리산 465
 
2.4%
산음 381
 
1.9%
청태산 334
 
1.7%
대관령 327
 
1.7%
미천골 325
 
1.6%
운문산 316
 
1.6%
삼봉 300
 
1.5%
Other values (38) 6656
33.7%

정책구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
추첨정책
9751 
우선예약정책
 
249

Length

Max length6
Median length4
Mean length4.0498
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
추첨정책 9751
97.5%
우선예약정책 249
 
2.5%

Length

2024-03-15T10:41:51.423512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:41:51.768796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
추첨정책 9751
97.5%
우선예약정책 249
 
2.5%
Distinct66
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T10:41:52.367430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length16.184
Min length16

Characters and Unicode

Total characters161840
Distinct characters40
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024년 04월 주말 추첨제
2nd row2024년 06월 장애인 추첨제
3rd row2024년 11월 주말 추첨제
4th row2024년 09월 주말 추첨제
5th row2024년 08월 주말 추첨제
ValueCountFrequency (%)
추첨제 9527
23.9%
2024년 9051
22.7%
주말 8830
22.2%
2025년 949
 
2.4%
01월 949
 
2.4%
08월 942
 
2.4%
10월 919
 
2.3%
06월 915
 
2.3%
07월 915
 
2.3%
04월 906
 
2.3%
Other values (12) 5922
14.9%
2024-03-15T10:41:53.533383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29825
18.4%
2 20904
12.9%
0 18192
11.2%
10000
 
6.2%
10000
 
6.2%
4 9957
 
6.2%
9751
 
6.0%
9751
 
6.0%
9751
 
6.0%
8830
 
5.5%
Other values (30) 24879
15.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71343
44.1%
Decimal Number 60000
37.1%
Space Separator 29825
18.4%
Uppercase Letter 672
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10000
14.0%
10000
14.0%
9751
13.7%
9751
13.7%
9751
13.7%
8830
12.4%
8830
12.4%
489
 
0.7%
489
 
0.7%
489
 
0.7%
Other values (16) 2963
 
4.2%
Decimal Number
ValueCountFrequency (%)
2 20904
34.8%
0 18192
30.3%
4 9957
16.6%
1 4580
 
7.6%
5 1848
 
3.1%
8 942
 
1.6%
6 915
 
1.5%
7 915
 
1.5%
3 890
 
1.5%
9 857
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
R 224
33.3%
S 224
33.3%
A 224
33.3%
Space Separator
ValueCountFrequency (%)
29825
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 89825
55.5%
Hangul 71343
44.1%
Latin 672
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10000
14.0%
10000
14.0%
9751
13.7%
9751
13.7%
9751
13.7%
8830
12.4%
8830
12.4%
489
 
0.7%
489
 
0.7%
489
 
0.7%
Other values (16) 2963
 
4.2%
Common
ValueCountFrequency (%)
29825
33.2%
2 20904
23.3%
0 18192
20.3%
4 9957
 
11.1%
1 4580
 
5.1%
5 1848
 
2.1%
8 942
 
1.0%
6 915
 
1.0%
7 915
 
1.0%
3 890
 
1.0%
Latin
ValueCountFrequency (%)
R 224
33.3%
S 224
33.3%
A 224
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90497
55.9%
Hangul 71343
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29825
33.0%
2 20904
23.1%
0 18192
20.1%
4 9957
 
11.0%
1 4580
 
5.1%
5 1848
 
2.0%
8 942
 
1.0%
6 915
 
1.0%
7 915
 
1.0%
3 890
 
1.0%
Other values (4) 1529
 
1.7%
Hangul
ValueCountFrequency (%)
10000
14.0%
10000
14.0%
9751
13.7%
9751
13.7%
9751
13.7%
8830
12.4%
8830
12.4%
489
 
0.7%
489
 
0.7%
489
 
0.7%
Other values (16) 2963
 
4.2%

신청기간
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-12-04~2024-12-09
839 
2024-07-04~2024-07-09
832 
2024-09-04~2024-09-09
815 
2024-05-04~2024-05-09
813 
2024-11-04~2024-11-09
804 
Other values (37)
5897 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-04~2024-03-09
2nd row2024-05-04~2024-05-08
3rd row2024-10-04~2024-10-09
4th row2024-08-04~2024-08-09
5th row2024-07-04~2024-07-09

Common Values

ValueCountFrequency (%)
2024-12-04~2024-12-09 839
8.4%
2024-07-04~2024-07-09 832
8.3%
2024-09-04~2024-09-09 815
8.2%
2024-05-04~2024-05-09 813
8.1%
2024-11-04~2024-11-09 804
8.0%
2024-06-04~2024-06-09 800
8.0%
2024-04-04~2024-04-09 798
8.0%
2024-10-04~2024-10-09 795
8.0%
2024-03-04~2024-03-09 781
7.8%
2024-02-04~2024-02-09 780
7.8%
Other values (32) 1943
19.4%

Length

2024-03-15T10:41:53.811674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-12-04~2024-12-09 839
8.4%
2024-07-04~2024-07-09 832
8.3%
2024-09-04~2024-09-09 815
8.2%
2024-05-04~2024-05-09 813
8.1%
2024-11-04~2024-11-09 804
8.0%
2024-06-04~2024-06-09 800
8.0%
2024-04-04~2024-04-09 798
8.0%
2024-10-04~2024-10-09 795
8.0%
2024-03-04~2024-03-09 781
7.8%
2024-02-04~2024-02-09 780
7.8%
Other values (32) 1943
19.4%

시설사용대상기간
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2025-01-01~2025-01-31
949 
2024-08-01~2024-08-31
942 
2024-10-01~2024-10-31
919 
2024-06-01~2024-06-30
915 
2024-07-01~2024-07-31
915 
Other values (6)
5360 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-01~2024-04-30
2nd row2024-06-01~2024-06-30
3rd row2024-11-01~2024-11-30
4th row2024-09-01~2024-09-30
5th row2024-08-01~2024-08-31

Common Values

ValueCountFrequency (%)
2025-01-01~2025-01-31 949
9.5%
2024-08-01~2024-08-31 942
9.4%
2024-10-01~2024-10-31 919
9.2%
2024-06-01~2024-06-30 915
9.2%
2024-07-01~2024-07-31 915
9.2%
2024-04-01~2024-04-30 906
9.1%
2024-11-01~2024-11-30 904
9.0%
2024-12-01~2024-12-31 904
9.0%
2024-05-01~2024-05-31 899
9.0%
2024-03-01~2024-03-31 890
8.9%

Length

2024-03-15T10:41:54.336912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2025-01-01~2025-01-31 949
9.5%
2024-08-01~2024-08-31 942
9.4%
2024-10-01~2024-10-31 919
9.2%
2024-06-01~2024-06-30 915
9.2%
2024-07-01~2024-07-31 915
9.2%
2024-04-01~2024-04-30 906
9.1%
2024-11-01~2024-11-30 904
9.0%
2024-12-01~2024-12-31 904
9.0%
2024-05-01~2024-05-31 899
9.0%
2024-03-01~2024-03-31 890
8.9%

지역
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
강원
2902 
대구/경북
1711 
인천/경기
1624 
전북
1140 
부산/경남
929 
Other values (3)
1694 

Length

Max length5
Median length5
Mean length3.6599
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산/경남
2nd row대구/경북
3rd row인천/경기
4th row인천/경기
5th row대구/경북

Common Values

ValueCountFrequency (%)
강원 2902
29.0%
대구/경북 1711
17.1%
인천/경기 1624
16.2%
전북 1140
 
11.4%
부산/경남 929
 
9.3%
대전/충남 847
 
8.5%
충북 425
 
4.2%
광주/전남 422
 
4.2%

Length

2024-03-15T10:41:54.828070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:41:55.294446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원 2902
29.0%
대구/경북 1711
17.1%
인천/경기 1624
16.2%
전북 1140
 
11.4%
부산/경남 929
 
9.3%
대전/충남 847
 
8.5%
충북 425
 
4.2%
광주/전남 422
 
4.2%

기관위도
Real number (ℝ)

HIGH CORRELATION 

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.784638
Minimum34.357536
Maximum38.23159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:41:55.720892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.357536
5-th percentile34.912266
Q135.899246
median37.038689
Q337.593195
95-th percentile38.011329
Maximum38.23159
Range3.8740539
Interquartile range (IQR)1.6939489

Descriptive statistics

Standard deviation1.008825
Coefficient of variation (CV)0.027425171
Kurtosis-0.85045293
Mean36.784638
Median Absolute Deviation (MAD)0.67619079
Skewness-0.53751277
Sum367846.38
Variance1.0177278
MonotonicityNot monotonic
2024-03-15T10:41:56.205776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
37.593195 708
 
7.1%
37.03868916 523
 
5.2%
36.11262716 465
 
4.7%
37.59505701 381
 
3.8%
37.52187601 334
 
3.3%
37.71487995 327
 
3.3%
37.94899221 325
 
3.2%
35.65204735 316
 
3.2%
37.85658821 300
 
3.0%
37.42673703 290
 
2.9%
Other values (35) 6031
60.3%
ValueCountFrequency (%)
34.3575358 118
1.2%
34.54526515 95
 
0.9%
34.75254075 279
2.8%
34.91226627 114
1.1%
35.18546584 77
 
0.8%
35.30270682 105
 
1.1%
35.34644374 201
2.0%
35.44405137 95
 
0.9%
35.49829993 172
1.7%
35.526022 267
2.7%
ValueCountFrequency (%)
38.23158973 170
1.7%
38.14375576 110
 
1.1%
38.01132899 245
2.5%
38.01030834 211
2.1%
37.94899221 325
3.2%
37.92966631 132
1.3%
37.88439506 111
 
1.1%
37.85658821 300
3.0%
37.77382293 109
 
1.1%
37.71487995 327
3.3%

기관경도
Real number (ℝ)

HIGH CORRELATION 

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.94857
Minimum126.18644
Maximum129.367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:41:56.685591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.18644
5-th percentile126.5237
Q1127.45851
median127.8142
Q3128.57605
95-th percentile129.23398
Maximum129.367
Range3.1805601
Interquartile range (IQR)1.1175394

Descriptive statistics

Standard deviation0.87792763
Coefficient of variation (CV)0.0068615667
Kurtosis-1.0441085
Mean127.94857
Median Absolute Deviation (MAD)0.69776345
Skewness-0.14115827
Sum1279485.7
Variance0.77075692
MonotonicityNot monotonic
2024-03-15T10:41:57.140723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
127.49145051 708
 
7.1%
128.99584731 523
 
5.2%
126.66414569 465
 
4.7%
127.57765952 381
 
3.8%
128.2906148 334
 
3.3%
128.78386066 327
 
3.3%
128.51196803 325
 
3.2%
129.02526842 316
 
3.2%
128.46351568 300
 
3.0%
128.56964347 290
 
2.9%
Other values (35) 6031
60.3%
ValueCountFrequency (%)
126.18643921 118
 
1.2%
126.4112684 83
 
0.8%
126.44674634 248
2.5%
126.52370325 236
2.4%
126.60763832 215
2.1%
126.66414569 465
4.7%
126.67221143 167
 
1.7%
126.75140639 95
 
0.9%
126.89965828 95
 
0.9%
126.94217581 109
 
1.1%
ValueCountFrequency (%)
129.3669993 281
2.8%
129.3021641 178
 
1.8%
129.23397866 174
 
1.7%
129.19178212 232
2.3%
129.18539761 105
 
1.1%
129.02526842 316
3.2%
129.02329948 267
2.7%
128.99584731 523
5.2%
128.78386066 327
3.3%
128.77581835 77
 
0.8%

연락처
Categorical

HIGH CORRELATION 

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
031-589-5487
 
708
054-672-1051
 
523
041-953-2230
 
465
031-774-8133
 
381
033-343-9707
 
334
Other values (40)
7589 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row055-963-8133
2nd row054-732-1607
3rd row031-774-8133
4th row031-589-5487
5th row054-373-1327

Common Values

ValueCountFrequency (%)
031-589-5487 708
 
7.1%
054-672-1051 523
 
5.2%
041-953-2230 465
 
4.7%
031-774-8133 381
 
3.8%
033-343-9707 334
 
3.3%
033-641-9990 327
 
3.3%
033-673-1806 325
 
3.2%
054-373-1327 316
 
3.2%
033-435-8536 300
 
3.0%
033-562-5833 290
 
2.9%
Other values (35) 6031
60.3%

Length

2024-03-15T10:41:57.516426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-589-5487 708
 
7.1%
054-672-1051 523
 
5.2%
041-953-2230 465
 
4.7%
031-774-8133 381
 
3.8%
033-343-9707 334
 
3.3%
033-641-9990 327
 
3.3%
033-673-1806 325
 
3.2%
054-373-1327 316
 
3.2%
033-435-8536 300
 
3.0%
033-562-5833 290
 
2.9%
Other values (35) 6031
60.3%

홈페이지주소
Categorical

HIGH CORRELATION 

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
http://www.foresttrip.go.kr/0101
 
708
http://www.foresttrip.go.kr/0183
 
523
http://www.foresttrip.go.kr/0187
 
465
http://www.foresttrip.go.kr/0103
 
381
http://www.foresttrip.go.kr/0106
 
334
Other values (40)
7589 

Length

Max length32
Median length32
Mean length32
Min length32

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttp://www.foresttrip.go.kr/0190
2nd rowhttp://www.foresttrip.go.kr/0182
3rd rowhttp://www.foresttrip.go.kr/0103
4th rowhttp://www.foresttrip.go.kr/0101
5th rowhttp://www.foresttrip.go.kr/0195

Common Values

ValueCountFrequency (%)
http://www.foresttrip.go.kr/0101 708
 
7.1%
http://www.foresttrip.go.kr/0183 523
 
5.2%
http://www.foresttrip.go.kr/0187 465
 
4.7%
http://www.foresttrip.go.kr/0103 381
 
3.8%
http://www.foresttrip.go.kr/0106 334
 
3.3%
http://www.foresttrip.go.kr/0111 327
 
3.3%
http://www.foresttrip.go.kr/0112 325
 
3.2%
http://www.foresttrip.go.kr/0195 316
 
3.2%
http://www.foresttrip.go.kr/0107 300
 
3.0%
http://www.foresttrip.go.kr/0113 290
 
2.9%
Other values (35) 6031
60.3%

Length

2024-03-15T10:41:57.929886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
http://www.foresttrip.go.kr/0101 708
 
7.1%
http://www.foresttrip.go.kr/0183 523
 
5.2%
http://www.foresttrip.go.kr/0187 465
 
4.7%
http://www.foresttrip.go.kr/0103 381
 
3.8%
http://www.foresttrip.go.kr/0106 334
 
3.3%
http://www.foresttrip.go.kr/0111 327
 
3.3%
http://www.foresttrip.go.kr/0112 325
 
3.2%
http://www.foresttrip.go.kr/0195 316
 
3.2%
http://www.foresttrip.go.kr/0107 300
 
3.0%
http://www.foresttrip.go.kr/0113 290
 
2.9%
Other values (35) 6031
60.3%
Distinct1476
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T10:41:58.994185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length7.6881
Min length2

Characters and Unicode

Total characters76881
Distinct characters423
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

Unique26 ?
Unique (%)0.3%

Sample

1st row칠선봉1
2nd row범부채
3rd row노루귀(반려견동반불가)
4th row야영데크(130)
5th row잣나무(2휴)
ValueCountFrequency (%)
야영데크(102 118
 
1.0%
야영데크(101 111
 
1.0%
야영데크(103 107
 
0.9%
야영데크(105 106
 
0.9%
야영데크(104 102
 
0.9%
오토캠프장 98
 
0.8%
걸어가는)상단 97
 
0.8%
1시간 97
 
0.8%
야영데크(106 97
 
0.8%
야영데크(110 92
 
0.8%
Other values (1436) 10535
91.1%
2024-03-15T10:42:00.651114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 5546
 
7.2%
) 5546
 
7.2%
1 5413
 
7.0%
2 3772
 
4.9%
3506
 
4.6%
3470
 
4.5%
0 3444
 
4.5%
3404
 
4.4%
3364
 
4.4%
3 1768
 
2.3%
Other values (413) 37648
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43358
56.4%
Decimal Number 17961
23.4%
Open Punctuation 6251
 
8.1%
Close Punctuation 6251
 
8.1%
Space Separator 1654
 
2.2%
Uppercase Letter 636
 
0.8%
Connector Punctuation 550
 
0.7%
Dash Punctuation 220
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3506
 
8.1%
3470
 
8.0%
3404
 
7.9%
3364
 
7.8%
1236
 
2.9%
1184
 
2.7%
1184
 
2.7%
1180
 
2.7%
1121
 
2.6%
993
 
2.3%
Other values (390) 22716
52.4%
Decimal Number
ValueCountFrequency (%)
1 5413
30.1%
2 3772
21.0%
0 3444
19.2%
3 1768
 
9.8%
5 871
 
4.8%
4 785
 
4.4%
6 603
 
3.4%
7 504
 
2.8%
8 443
 
2.5%
9 358
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
A 233
36.6%
B 168
26.4%
C 104
16.4%
D 92
 
14.5%
E 20
 
3.1%
F 19
 
3.0%
Open Punctuation
ValueCountFrequency (%)
( 5546
88.7%
[ 705
 
11.3%
Close Punctuation
ValueCountFrequency (%)
) 5546
88.7%
] 705
 
11.3%
Space Separator
ValueCountFrequency (%)
1654
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 550
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43358
56.4%
Common 32887
42.8%
Latin 636
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3506
 
8.1%
3470
 
8.0%
3404
 
7.9%
3364
 
7.8%
1236
 
2.9%
1184
 
2.7%
1184
 
2.7%
1180
 
2.7%
1121
 
2.6%
993
 
2.3%
Other values (390) 22716
52.4%
Common
ValueCountFrequency (%)
( 5546
16.9%
) 5546
16.9%
1 5413
16.5%
2 3772
11.5%
0 3444
10.5%
3 1768
 
5.4%
1654
 
5.0%
5 871
 
2.6%
4 785
 
2.4%
[ 705
 
2.1%
Other values (7) 3383
10.3%
Latin
ValueCountFrequency (%)
A 233
36.6%
B 168
26.4%
C 104
16.4%
D 92
 
14.5%
E 20
 
3.1%
F 19
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43358
56.4%
ASCII 33523
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 5546
16.5%
) 5546
16.5%
1 5413
16.1%
2 3772
11.3%
0 3444
10.3%
3 1768
 
5.3%
1654
 
4.9%
5 871
 
2.6%
4 785
 
2.3%
[ 705
 
2.1%
Other values (13) 4019
12.0%
Hangul
ValueCountFrequency (%)
3506
 
8.1%
3470
 
8.0%
3404
 
7.9%
3364
 
7.8%
1236
 
2.9%
1184
 
2.7%
1184
 
2.7%
1180
 
2.7%
1121
 
2.6%
993
 
2.3%
Other values (390) 22716
52.4%

객실인원수
Real number (ℝ)

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4572
Minimum3
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:42:01.026793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q14
median5
Q36
95-th percentile8
Maximum64
Range61
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5363382
Coefficient of variation (CV)0.46476915
Kurtosis275.9763
Mean5.4572
Median Absolute Deviation (MAD)1
Skewness13.844441
Sum54572
Variance6.4330115
MonotonicityNot monotonic
2024-03-15T10:42:01.407312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
6 3323
33.2%
5 2796
28.0%
4 2504
25.0%
8 520
 
5.2%
3 331
 
3.3%
7 244
 
2.4%
10 102
 
1.0%
9 78
 
0.8%
12 34
 
0.3%
11 29
 
0.3%
Other values (8) 39
 
0.4%
ValueCountFrequency (%)
3 331
 
3.3%
4 2504
25.0%
5 2796
28.0%
6 3323
33.2%
7 244
 
2.4%
8 520
 
5.2%
9 78
 
0.8%
10 102
 
1.0%
11 29
 
0.3%
12 34
 
0.3%
ValueCountFrequency (%)
64 4
 
< 0.1%
60 4
 
< 0.1%
50 8
 
0.1%
25 4
 
< 0.1%
24 4
 
< 0.1%
20 4
 
< 0.1%
16 1
 
< 0.1%
14 10
 
0.1%
12 34
0.3%
11 29
0.3%

성수기평일가격
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69266.65
Minimum11000
Maximum550000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:42:01.790219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11000
5-th percentile15500
Q116500
median76000
Q3102000
95-th percentile173000
Maximum550000
Range539000
Interquartile range (IQR)85500

Descriptive statistics

Standard deviation54535.606
Coefficient of variation (CV)0.78732847
Kurtosis4.5378799
Mean69266.65
Median Absolute Deviation (MAD)58000
Skewness1.213601
Sum6.926665 × 108
Variance2.9741323 × 109
MonotonicityNot monotonic
2024-03-15T10:42:02.200609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
16500 2238
22.4%
76000 1115
11.2%
82000 1105
11.1%
134000 984
9.8%
15500 853
 
8.5%
102000 761
 
7.6%
20000 575
 
5.8%
106000 565
 
5.7%
173000 393
 
3.9%
25000 211
 
2.1%
Other values (22) 1200
12.0%
ValueCountFrequency (%)
11000 30
 
0.3%
13000 155
 
1.6%
15000 23
 
0.2%
15500 853
 
8.5%
16500 2238
22.4%
20000 575
 
5.8%
25000 211
 
2.1%
35000 154
 
1.5%
38000 13
 
0.1%
40000 46
 
0.5%
ValueCountFrequency (%)
550000 8
 
0.1%
320000 8
 
0.1%
260000 4
 
< 0.1%
250000 8
 
0.1%
240000 37
 
0.4%
236000 8
 
0.1%
208000 111
 
1.1%
197000 20
 
0.2%
173000 393
3.9%
162000 183
1.8%

성수기주말가격
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69266.65
Minimum11000
Maximum550000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:42:02.530985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11000
5-th percentile15500
Q116500
median76000
Q3102000
95-th percentile173000
Maximum550000
Range539000
Interquartile range (IQR)85500

Descriptive statistics

Standard deviation54535.606
Coefficient of variation (CV)0.78732847
Kurtosis4.5378799
Mean69266.65
Median Absolute Deviation (MAD)58000
Skewness1.213601
Sum6.926665 × 108
Variance2.9741323 × 109
MonotonicityNot monotonic
2024-03-15T10:42:02.875228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
16500 2238
22.4%
76000 1115
11.2%
82000 1105
11.1%
134000 984
9.8%
15500 853
 
8.5%
102000 761
 
7.6%
20000 575
 
5.8%
106000 565
 
5.7%
173000 393
 
3.9%
25000 211
 
2.1%
Other values (22) 1200
12.0%
ValueCountFrequency (%)
11000 30
 
0.3%
13000 155
 
1.6%
15000 23
 
0.2%
15500 853
 
8.5%
16500 2238
22.4%
20000 575
 
5.8%
25000 211
 
2.1%
35000 154
 
1.5%
38000 13
 
0.1%
40000 46
 
0.5%
ValueCountFrequency (%)
550000 8
 
0.1%
320000 8
 
0.1%
260000 4
 
< 0.1%
250000 8
 
0.1%
240000 37
 
0.4%
236000 8
 
0.1%
208000 111
 
1.1%
197000 20
 
0.2%
173000 393
3.9%
162000 183
1.8%

비수기평일가격
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41672.3
Minimum10000
Maximum402000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:42:03.118146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile14000
Q115000
median44000
Q356000
95-th percentile98000
Maximum402000
Range392000
Interquartile range (IQR)41000

Descriptive statistics

Standard deviation30435.39
Coefficient of variation (CV)0.73035061
Kurtosis17.326605
Mean41672.3
Median Absolute Deviation (MAD)29000
Skewness2.4000401
Sum4.16723 × 108
Variance9.2631294 × 108
MonotonicityNot monotonic
2024-03-15T10:42:03.371089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
15000 2238
22.4%
44000 1115
11.2%
45000 1105
11.1%
75000 984
9.8%
14000 876
 
8.8%
56000 761
 
7.6%
17000 575
 
5.8%
58000 565
 
5.7%
98000 393
 
3.9%
20000 211
 
2.1%
Other values (20) 1177
11.8%
ValueCountFrequency (%)
10000 30
 
0.3%
12000 155
 
1.6%
14000 876
 
8.8%
15000 2238
22.4%
17000 575
 
5.8%
20000 211
 
2.1%
22000 154
 
1.5%
23000 13
 
0.1%
27000 17
 
0.2%
32000 46
 
0.5%
ValueCountFrequency (%)
402000 8
 
0.1%
220000 8
 
0.1%
200000 12
 
0.1%
163000 37
 
0.4%
152000 8
 
0.1%
124000 111
 
1.1%
118000 20
 
0.2%
98000 393
3.9%
95000 183
1.8%
87000 5
 
0.1%

비수기주말가격
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69266.65
Minimum11000
Maximum550000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T10:42:03.697477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11000
5-th percentile15500
Q116500
median76000
Q3102000
95-th percentile173000
Maximum550000
Range539000
Interquartile range (IQR)85500

Descriptive statistics

Standard deviation54535.606
Coefficient of variation (CV)0.78732847
Kurtosis4.5378799
Mean69266.65
Median Absolute Deviation (MAD)58000
Skewness1.213601
Sum6.926665 × 108
Variance2.9741323 × 109
MonotonicityNot monotonic
2024-03-15T10:42:03.929862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
16500 2238
22.4%
76000 1115
11.2%
82000 1105
11.1%
134000 984
9.8%
15500 853
 
8.5%
102000 761
 
7.6%
20000 575
 
5.8%
106000 565
 
5.7%
173000 393
 
3.9%
25000 211
 
2.1%
Other values (22) 1200
12.0%
ValueCountFrequency (%)
11000 30
 
0.3%
13000 155
 
1.6%
15000 23
 
0.2%
15500 853
 
8.5%
16500 2238
22.4%
20000 575
 
5.8%
25000 211
 
2.1%
35000 154
 
1.5%
38000 13
 
0.1%
40000 46
 
0.5%
ValueCountFrequency (%)
550000 8
 
0.1%
320000 8
 
0.1%
260000 4
 
< 0.1%
250000 8
 
0.1%
240000 37
 
0.4%
236000 8
 
0.1%
208000 111
 
1.1%
197000 20
 
0.2%
173000 393
3.9%
162000 183
1.8%

추첨대상확인
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
추첨대상
9135 
추첨제외
 
616
우선예약대상
 
247
우선예약제외
 
2

Length

Max length6
Median length4
Mean length4.0498
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
추첨대상 9135
91.3%
추첨제외 616
 
6.2%
우선예약대상 247
 
2.5%
우선예약제외 2
 
< 0.1%

Length

2024-03-15T10:42:04.229431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:42:04.470886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
추첨대상 9135
91.3%
추첨제외 616
 
6.2%
우선예약대상 247
 
2.5%
우선예약제외 2
 
< 0.1%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
코로나19 상황에 따라 달라질 수 있습니다.
10000 

Length

Max length24
Median length24
Mean length24
Min length24

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row코로나19 상황에 따라 달라질 수 있습니다.
2nd row코로나19 상황에 따라 달라질 수 있습니다.
3rd row코로나19 상황에 따라 달라질 수 있습니다.
4th row코로나19 상황에 따라 달라질 수 있습니다.
5th row코로나19 상황에 따라 달라질 수 있습니다.

Common Values

ValueCountFrequency (%)
코로나19 상황에 따라 달라질 수 있습니다. 10000
100.0%

Length

2024-03-15T10:42:04.739084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:42:05.303085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
코로나19 10000
16.7%
상황에 10000
16.7%
따라 10000
16.7%
달라질 10000
16.7%
10000
16.7%
있습니다 10000
16.7%

Interactions

2024-03-15T10:41:46.478626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:30.881228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:33.204669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:35.453675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:38.358293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:40.698090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:42.955255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:44.721042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:46.736013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:31.171103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:33.501662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:35.737729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:38.729811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:40.990615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:43.175489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:44.965485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:46.974424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:31.466035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:33.785878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:36.021777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:39.084723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:41.268792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:43.461554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:45.170415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:47.238065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:31.754719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:34.054257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:36.428687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:39.422090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:41.538744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:43.665396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:45.391193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:47.508404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:32.031997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:34.333597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:36.726533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:39.713824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:41.809165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:43.848121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:45.684438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:47.775441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:32.365111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:34.688066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:37.057590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:39.893029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:42.074247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:44.024288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:45.860617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:48.039077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:32.637528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:34.893675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:37.652323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:40.150950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:42.428344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:44.191763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:46.042603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:48.328403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:32.934702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:35.184549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:38.027412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:40.432665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:42.693717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:44.394460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:41:46.235929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:42:05.442573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관아이디기관명정책구분정책명신청기간시설사용대상기간지역기관위도기관경도연락처홈페이지주소객실인원수성수기평일가격성수기주말가격비수기평일가격비수기주말가격추첨대상확인
기관아이디1.0001.0000.0930.1270.1120.0000.8770.7140.7281.0001.0000.0930.3140.3140.2290.3140.163
기관명1.0001.0000.7080.6290.4390.0001.0001.0001.0001.0001.0000.3300.6120.6120.5590.6120.641
정책구분0.0930.7081.0001.0001.0000.0000.1750.1450.4230.7080.7080.0000.1550.1550.0790.1551.000
정책명0.1270.6291.0001.0001.0001.0000.2320.1470.4470.6290.6290.0000.3210.3210.2600.3210.897
신청기간0.1120.4391.0001.0001.0001.0000.1610.0960.3020.4390.4390.0000.3270.3270.2550.3270.885
시설사용대상기간0.0000.0000.0001.0001.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.474
지역0.8771.0000.1750.2320.1610.0001.0000.8860.8191.0001.0000.1130.2520.2520.1990.2520.224
기관위도0.7141.0000.1450.1470.0960.0000.8861.0000.8831.0001.0000.1400.2750.2750.2040.2750.143
기관경도0.7281.0000.4230.4470.3020.0000.8190.8831.0001.0001.0000.1210.2640.2640.1840.2640.344
연락처1.0001.0000.7080.6290.4390.0001.0001.0001.0001.0001.0000.3300.6120.6120.5590.6120.641
홈페이지주소1.0001.0000.7080.6290.4390.0001.0001.0001.0001.0001.0000.3300.6120.6120.5590.6120.641
객실인원수0.0930.3300.0000.0000.0000.0000.1130.1400.1210.3300.3301.0000.8570.8570.9090.8570.012
성수기평일가격0.3140.6120.1550.3210.3270.0000.2520.2750.2640.6120.6120.8571.0001.0000.9901.0000.211
성수기주말가격0.3140.6120.1550.3210.3270.0000.2520.2750.2640.6120.6120.8571.0001.0000.9901.0000.211
비수기평일가격0.2290.5590.0790.2600.2550.0000.1990.2040.1840.5590.5590.9090.9900.9901.0000.9900.112
비수기주말가격0.3140.6120.1550.3210.3270.0000.2520.2750.2640.6120.6120.8571.0001.0000.9901.0000.211
추첨대상확인0.1630.6411.0000.8970.8850.4740.2240.1430.3440.6410.6410.0120.2110.2110.1120.2111.000
2024-03-15T10:42:05.795711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
추첨대상확인시설사용대상기간기관명홈페이지주소신청기간지역연락처정책구분
추첨대상확인1.0000.3050.3790.3790.6670.1020.3791.000
시설사용대상기간0.3051.0000.0000.0000.9980.0000.0000.000
기관명0.3790.0001.0001.0000.0930.9981.0000.603
홈페이지주소0.3790.0001.0001.0000.0930.9981.0000.603
신청기간0.6670.9980.0930.0931.0000.0620.0930.998
지역0.1020.0000.9980.9980.0621.0000.9980.131
연락처0.3790.0001.0001.0000.0930.9981.0000.603
정책구분1.0000.0000.6030.6030.9980.1310.6031.000
2024-03-15T10:42:06.124599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관아이디기관위도기관경도객실인원수성수기평일가격성수기주말가격비수기평일가격비수기주말가격기관명정책구분신청기간시설사용대상기간지역연락처홈페이지주소추첨대상확인
기관아이디1.000-0.485-0.095-0.0280.2310.2310.2310.2310.9980.0690.0430.0000.4830.9980.9980.074
기관위도-0.4851.0000.1380.123-0.168-0.168-0.168-0.1680.9980.1110.0330.0000.6960.9980.9980.086
기관경도-0.0950.1381.000-0.080-0.154-0.154-0.154-0.1540.9980.3250.1090.0000.5780.9980.9980.212
객실인원수-0.0280.123-0.0801.0000.1380.1380.1380.1380.1460.0000.0000.0000.0630.1460.1460.008
성수기평일가격0.231-0.168-0.1540.1381.0001.0001.0001.0000.2990.1670.1290.0000.1380.2990.2990.147
성수기주말가격0.231-0.168-0.1540.1381.0001.0001.0001.0000.2990.1670.1290.0000.1380.2990.2990.147
비수기평일가격0.231-0.168-0.1540.1381.0001.0001.0001.0000.2630.0850.0990.0000.1080.2630.2630.078
비수기주말가격0.231-0.168-0.1540.1381.0001.0001.0001.0000.2990.1670.1290.0000.1380.2990.2990.147
기관명0.9980.9980.9980.1460.2990.2990.2630.2991.0000.6030.0930.0000.9981.0001.0000.379
정책구분0.0690.1110.3250.0000.1670.1670.0850.1670.6031.0000.9980.0000.1310.6030.6031.000
신청기간0.0430.0330.1090.0000.1290.1290.0990.1290.0930.9981.0000.9980.0620.0930.0930.667
시설사용대상기간0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.9981.0000.0000.0000.0000.305
지역0.4830.6960.5780.0630.1380.1380.1080.1380.9980.1310.0620.0001.0000.9980.9980.102
연락처0.9980.9980.9980.1460.2990.2990.2630.2991.0000.6030.0930.0000.9981.0001.0000.379
홈페이지주소0.9980.9980.9980.1460.2990.2990.2630.2991.0000.6030.0930.0000.9981.0001.0000.379
추첨대상확인0.0740.0860.2120.0080.1470.1470.0780.1470.3791.0000.6670.3050.1020.3790.3791.000

Missing values

2024-03-15T10:41:48.802513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:41:49.744251image/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

기관아이디기관명정책구분정책명신청기간시설사용대상기간지역기관위도기관경도연락처홈페이지주소상품명객실인원수성수기평일가격성수기주말가격비수기평일가격비수기주말가격추첨대상확인비고
14893190지리산 자연휴양림추첨정책2024년 04월 주말 추첨제2024-03-04~2024-03-092024-04-01~2024-04-30부산/경남35.346444127.643006055-963-8133http://www.foresttrip.go.kr/0190칠선봉1613400013400075000134000추첨대상코로나19 상황에 따라 달라질 수 있습니다.
10681182칠보산 자연휴양림추첨정책2024년 06월 장애인 추첨제2024-05-04~2024-05-082024-06-01~2024-06-30대구/경북36.625082129.366999054-732-1607http://www.foresttrip.go.kr/0182범부채510600010600058000106000추첨대상코로나19 상황에 따라 달라질 수 있습니다.
2859103산음 자연휴양림추첨정책2024년 11월 주말 추첨제2024-10-04~2024-10-092024-11-01~2024-11-30인천/경기37.595057127.57766031-774-8133http://www.foresttrip.go.kr/0103노루귀(반려견동반불가)360000600003600060000추첨대상코로나19 상황에 따라 달라질 수 있습니다.
1073101유명산 자연휴양림추첨정책2024년 09월 주말 추첨제2024-08-04~2024-08-092024-09-01~2024-09-30인천/경기37.593195127.491451031-589-5487http://www.foresttrip.go.kr/0101야영데크(130)515500155001400015500추첨대상코로나19 상황에 따라 달라질 수 있습니다.
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