Overview

Dataset statistics

Number of variables17
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory153.9 B

Variable types

Numeric14
Categorical3

Dataset

Description2021년·2022년·2023년 군산시 유료지점 및 무료지점을 포함한 주요 관광지점에 대한 월별 관광객수와 총 합계 데이터입니다.
Author전북특별자치도 군산시
URLhttps://www.data.go.kr/data/15103608/fileData.do

Alerts

년도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
데이터기준일자 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 년도 and 1 other fieldsHigh correlation
합계 is highly overall correlated with 1월 and 11 other fieldsHigh correlation
1월 is highly overall correlated with 합계 and 11 other fieldsHigh correlation
2월 is highly overall correlated with 합계 and 11 other fieldsHigh correlation
3월 is highly overall correlated with 합계 and 11 other fieldsHigh correlation
4월 is highly overall correlated with 합계 and 11 other fieldsHigh correlation
5월 is highly overall correlated with 합계 and 12 other fieldsHigh correlation
6월 is highly overall correlated with 합계 and 11 other fieldsHigh correlation
7월 is highly overall correlated with 합계 and 11 other fieldsHigh correlation
8월 is highly overall correlated with 합계 and 11 other fieldsHigh correlation
9월 is highly overall correlated with 합계 and 11 other fieldsHigh correlation
10월 is highly overall correlated with 합계 and 11 other fieldsHigh correlation
11월 is highly overall correlated with 합계 and 11 other fieldsHigh correlation
12월 is highly overall correlated with 합계 and 11 other fieldsHigh correlation
관광지 is highly overall correlated with 5월High correlation
연번 has unique valuesUnique
합계 has unique valuesUnique
1월 has unique valuesUnique
2월 has unique valuesUnique
3월 has unique valuesUnique
4월 has unique valuesUnique
5월 has unique valuesUnique
6월 has unique valuesUnique
7월 has unique valuesUnique
8월 has unique valuesUnique
9월 has unique valuesUnique
10월 has unique valuesUnique
11월 has unique valuesUnique
12월 has unique valuesUnique

Reproduction

Analysis started2024-03-14 13:39:12.551723
Analysis finished2024-03-14 13:39:56.430347
Duration43.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.939394
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:39:56.544918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q110
median18
Q326
95-th percentile32.4
Maximum34
Range33
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.7722163
Coefficient of variation (CV)0.54473503
Kurtosis-1.1522764
Mean17.939394
Median Absolute Deviation (MAD)8
Skewness-0.035018845
Sum592
Variance95.496212
MonotonicityStrictly increasing
2024-03-14T22:39:56.774125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
27 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
26 1
 
3.0%
28 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
11 1
3.0%
ValueCountFrequency (%)
34 1
3.0%
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%

년도
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size392.0 B
2021년
11 
2022년
11 
2023년
11 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021년
2nd row2021년
3rd row2021년
4th row2021년
5th row2021년

Common Values

ValueCountFrequency (%)
2021년 11
33.3%
2022년 11
33.3%
2023년 11
33.3%

Length

2024-03-14T22:39:57.019646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:39:57.195586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021년 11
33.3%
2022년 11
33.3%
2023년 11
33.3%

관광지
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size392.0 B
경암동철길마을
군산근대역사박물관
군산새만금컨벤션센터
군산컨트리클럽
선유도
Other values (7)
18 

Length

Max length18
Median length10
Mean length6.969697
Min length3

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row경암동철길마을
2nd row군산근대역사박물관
3rd row군산새만금컨벤션센터
4th row군산컨트리클럽
5th row금강철새조망대

Common Values

ValueCountFrequency (%)
경암동철길마을 3
9.1%
군산근대역사박물관 3
9.1%
군산새만금컨벤션센터 3
9.1%
군산컨트리클럽 3
9.1%
선유도 3
9.1%
은파호수공원 3
9.1%
청암산 3
9.1%
청암산 오토캠핑장 3
9.1%
초원사진관 3
9.1%
테디베어박물관 3
9.1%
Other values (2) 3
9.1%

Length

2024-03-14T22:39:57.408844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청암산 6
16.2%
경암동철길마을 3
8.1%
군산근대역사박물관 3
8.1%
군산새만금컨벤션센터 3
8.1%
군산컨트리클럽 3
8.1%
선유도 3
8.1%
은파호수공원 3
8.1%
오토캠핑장 3
8.1%
초원사진관 3
8.1%
테디베어박물관 3
8.1%
Other values (2) 4
10.8%

합계
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean431965.12
Minimum26598
Maximum3005923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:39:57.768549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26598
5-th percentile28014.8
Q141644
median191751
Q3442918
95-th percentile2374769.6
Maximum3005923
Range2979325
Interquartile range (IQR)401274

Descriptive statistics

Standard deviation724147.98
Coefficient of variation (CV)1.6764038
Kurtosis6.7658592
Mean431965.12
Median Absolute Deviation (MAD)155375
Skewness2.7295135
Sum14254849
Variance5.243903 × 1011
MonotonicityNot monotonic
2024-03-14T22:39:58.182412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
379322 1
 
3.0%
191751 1
 
3.0%
40740 1
 
3.0%
196311 1
 
3.0%
30841 1
 
3.0%
505779 1
 
3.0%
479084 1
 
3.0%
129170 1
 
3.0%
30825 1
 
3.0%
291780 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
26598 1
3.0%
27401 1
3.0%
28424 1
3.0%
30825 1
3.0%
30841 1
3.0%
31189 1
3.0%
36376 1
3.0%
40740 1
3.0%
41644 1
3.0%
47156 1
3.0%
ValueCountFrequency (%)
3005923 1
3.0%
2436680 1
3.0%
2333496 1
3.0%
683370 1
3.0%
645227 1
3.0%
510170 1
3.0%
505779 1
3.0%
479084 1
3.0%
442918 1
3.0%
379322 1
3.0%

1월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25482.121
Minimum164
Maximum178233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:39:58.568974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum164
5-th percentile589.8
Q12191
median5915
Q329208
95-th percentile143771.8
Maximum178233
Range178069
Interquartile range (IQR)27017

Descriptive statistics

Standard deviation44478.556
Coefficient of variation (CV)1.7454809
Kurtosis5.8457411
Mean25482.121
Median Absolute Deviation (MAD)5055
Skewness2.5398375
Sum840910
Variance1.9783419 × 109
MonotonicityNot monotonic
2024-03-14T22:39:59.065372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
19446 1
 
3.0%
915 1
 
3.0%
3596 1
 
3.0%
13328 1
 
3.0%
2191 1
 
3.0%
35030 1
 
3.0%
24711 1
 
3.0%
9677 1
 
3.0%
1666 1
 
3.0%
6296 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
164 1
3.0%
507 1
3.0%
645 1
3.0%
860 1
3.0%
915 1
3.0%
1284 1
3.0%
1583 1
3.0%
1666 1
3.0%
2191 1
3.0%
2770 1
3.0%
ValueCountFrequency (%)
178233 1
3.0%
146827 1
3.0%
141735 1
3.0%
50684 1
3.0%
43689 1
3.0%
38889 1
3.0%
38796 1
3.0%
35030 1
3.0%
29208 1
3.0%
24711 1
3.0%

2월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27448.545
Minimum228
Maximum190073
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:39:59.339659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum228
5-th percentile1020.2
Q12984
median11382
Q339724
95-th percentile116687
Maximum190073
Range189845
Interquartile range (IQR)36740

Descriptive statistics

Standard deviation42431.782
Coefficient of variation (CV)1.5458663
Kurtosis7.3816376
Mean27448.545
Median Absolute Deviation (MAD)9795
Skewness2.6335098
Sum905802
Variance1.8004561 × 109
MonotonicityNot monotonic
2024-03-14T22:39:59.568630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
32744 1
 
3.0%
4447 1
 
3.0%
3488 1
 
3.0%
11382 1
 
3.0%
2066 1
 
3.0%
54951 1
 
3.0%
40477 1
 
3.0%
11394 1
 
3.0%
1587 1
 
3.0%
21185 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
228 1
3.0%
278 1
3.0%
1515 1
3.0%
1587 1
3.0%
1942 1
3.0%
2066 1
3.0%
2626 1
3.0%
2677 1
3.0%
2984 1
3.0%
3488 1
3.0%
ValueCountFrequency (%)
190073 1
3.0%
144440 1
3.0%
98185 1
3.0%
54951 1
3.0%
46523 1
3.0%
44348 1
3.0%
42702 1
3.0%
40477 1
3.0%
39724 1
3.0%
32744 1
3.0%

3월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28609.515
Minimum1312
Maximum194372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:39:59.980388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1312
5-th percentile1404.2
Q13045
median12984
Q322729
95-th percentile131767
Maximum194372
Range193060
Interquartile range (IQR)19684

Descriptive statistics

Standard deviation44769.986
Coefficient of variation (CV)1.5648635
Kurtosis6.5918288
Mean28609.515
Median Absolute Deviation (MAD)9939
Skewness2.57477
Sum944114
Variance2.0043516 × 109
MonotonicityNot monotonic
2024-03-14T22:40:00.410748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
22729 1
 
3.0%
15483 1
 
3.0%
2436 1
 
3.0%
9976 1
 
3.0%
1312 1
 
3.0%
49512 1
 
3.0%
35070 1
 
3.0%
7881 1
 
3.0%
1409 1
 
3.0%
18912 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1312 1
3.0%
1397 1
3.0%
1409 1
3.0%
1563 1
3.0%
1940 1
3.0%
2048 1
3.0%
2420 1
3.0%
2436 1
3.0%
3045 1
3.0%
3050 1
3.0%
ValueCountFrequency (%)
194372 1
3.0%
150946 1
3.0%
118981 1
3.0%
64700 1
3.0%
50920 1
3.0%
50531 1
3.0%
49512 1
3.0%
35070 1
3.0%
22729 1
3.0%
22338 1
3.0%

4월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38056
Minimum721
Maximum261051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:40:00.816020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum721
5-th percentile1602
Q13096
median14182
Q334344
95-th percentile175452.6
Maximum261051
Range260330
Interquartile range (IQR)31248

Descriptive statistics

Standard deviation60089.724
Coefficient of variation (CV)1.5789816
Kurtosis6.3779058
Mean38056
Median Absolute Deviation (MAD)12303
Skewness2.5278345
Sum1255848
Variance3.610775 × 109
MonotonicityNot monotonic
2024-03-14T22:40:01.235629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
28623 1
 
3.0%
20671 1
 
3.0%
3096 1
 
3.0%
14182 1
 
3.0%
1879 1
 
3.0%
55314 1
 
3.0%
40710 1
 
3.0%
12007 1
 
3.0%
2124 1
 
3.0%
16443 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
721 1
3.0%
1296 1
3.0%
1806 1
3.0%
1879 1
3.0%
2124 1
3.0%
2158 1
3.0%
2885 1
3.0%
2888 1
3.0%
3096 1
3.0%
3412 1
3.0%
ValueCountFrequency (%)
261051 1
3.0%
194421 1
3.0%
162807 1
3.0%
91144 1
3.0%
85319 1
3.0%
63823 1
3.0%
55314 1
3.0%
40710 1
3.0%
34344 1
3.0%
29018 1
3.0%

5월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39846.515
Minimum899
Maximum289528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:40:01.651173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum899
5-th percentile2339.2
Q13967
median19084
Q340451
95-th percentile184503.4
Maximum289528
Range288629
Interquartile range (IQR)36484

Descriptive statistics

Standard deviation63095.648
Coefficient of variation (CV)1.5834672
Kurtosis8.26609
Mean39846.515
Median Absolute Deviation (MAD)15636
Skewness2.8258735
Sum1314935
Variance3.9810608 × 109
MonotonicityNot monotonic
2024-03-14T22:40:02.016397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
40331 1
 
3.0%
23000 1
 
3.0%
3784 1
 
3.0%
19084 1
 
3.0%
2430 1
 
3.0%
46391 1
 
3.0%
40451 1
 
3.0%
12555 1
 
3.0%
3967 1
 
3.0%
29358 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
899 1
3.0%
2203 1
3.0%
2430 1
3.0%
2684 1
3.0%
2878 1
3.0%
3448 1
3.0%
3492 1
3.0%
3784 1
3.0%
3967 1
3.0%
4609 1
3.0%
ValueCountFrequency (%)
289528 1
3.0%
196666 1
3.0%
176395 1
3.0%
71101 1
3.0%
59258 1
3.0%
58524 1
3.0%
46699 1
3.0%
46391 1
3.0%
40451 1
3.0%
40331 1
3.0%

6월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43544.394
Minimum1742
Maximum364576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:40:02.403203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1742
5-th percentile2108.6
Q13368
median17189
Q335419
95-th percentile234229
Maximum364576
Range362834
Interquartile range (IQR)32051

Descriptive statistics

Standard deviation82010.578
Coefficient of variation (CV)1.8833786
Kurtosis9.2194403
Mean43544.394
Median Absolute Deviation (MAD)14626
Skewness3.0771709
Sum1436965
Variance6.7257349 × 109
MonotonicityNot monotonic
2024-03-14T22:40:02.811664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
28479 1
 
3.0%
24301 1
 
3.0%
3204 1
 
3.0%
17189 1
 
3.0%
2181 1
 
3.0%
38840 1
 
3.0%
34915 1
 
3.0%
8895 1
 
3.0%
2563 1
 
3.0%
35419 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1742 1
3.0%
2057 1
3.0%
2143 1
3.0%
2181 1
3.0%
2301 1
3.0%
2563 1
3.0%
2748 1
3.0%
3204 1
3.0%
3368 1
3.0%
3454 1
3.0%
ValueCountFrequency (%)
364576 1
3.0%
292357 1
3.0%
195477 1
3.0%
60990 1
3.0%
60016 1
3.0%
53260 1
3.0%
42129 1
3.0%
38840 1
3.0%
35419 1
3.0%
34915 1
3.0%

7월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34076.97
Minimum390
Maximum250572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:40:03.208368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum390
5-th percentile1729
Q13436
median15614
Q328755
95-th percentile197444.6
Maximum250572
Range250182
Interquartile range (IQR)25319

Descriptive statistics

Standard deviation60665.397
Coefficient of variation (CV)1.7802462
Kurtosis7.0592431
Mean34076.97
Median Absolute Deviation (MAD)12378
Skewness2.7996493
Sum1124540
Variance3.6802904 × 109
MonotonicityNot monotonic
2024-03-14T22:40:03.622041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
23466 1
 
3.0%
12712 1
 
3.0%
3436 1
 
3.0%
19407 1
 
3.0%
3236 1
 
3.0%
28755 1
 
3.0%
33147 1
 
3.0%
5024 1
 
3.0%
1726 1
 
3.0%
22927 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
390 1
3.0%
1726 1
3.0%
1731 1
3.0%
2094 1
3.0%
2569 1
3.0%
2672 1
3.0%
3191 1
3.0%
3236 1
3.0%
3436 1
3.0%
3652 1
3.0%
ValueCountFrequency (%)
250572 1
3.0%
208019 1
3.0%
190395 1
3.0%
52740 1
3.0%
44498 1
3.0%
43923 1
3.0%
35231 1
3.0%
33147 1
3.0%
28755 1
3.0%
24156 1
3.0%

8월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45386.97
Minimum208
Maximum375780
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:40:03.994620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum208
5-th percentile2321.4
Q14616
median15877
Q344059
95-th percentile251296.4
Maximum375780
Range375572
Interquartile range (IQR)39443

Descriptive statistics

Standard deviation84698.168
Coefficient of variation (CV)1.866134
Kurtosis8.753603
Mean45386.97
Median Absolute Deviation (MAD)12676
Skewness3.016409
Sum1497770
Variance7.1737797 × 109
MonotonicityNot monotonic
2024-03-14T22:40:04.404654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
40110 1
 
3.0%
13001 1
 
3.0%
4616 1
 
3.0%
24546 1
 
3.0%
5027 1
 
3.0%
44678 1
 
3.0%
61469 1
 
3.0%
6690 1
 
3.0%
3797 1
 
3.0%
35227 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
208 1
3.0%
2232 1
3.0%
2381 1
3.0%
3072 1
3.0%
3201 1
3.0%
3797 1
3.0%
4068 1
3.0%
4340 1
3.0%
4616 1
3.0%
5027 1
3.0%
ValueCountFrequency (%)
375780 1
3.0%
286775 1
3.0%
227644 1
3.0%
61469 1
3.0%
54226 1
3.0%
48947 1
3.0%
48373 1
3.0%
44678 1
3.0%
44059 1
3.0%
40110 1
3.0%

9월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41455.212
Minimum269
Maximum329268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:40:04.797274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum269
5-th percentile2166.4
Q13404
median17543
Q331064
95-th percentile238193.2
Maximum329268
Range328999
Interquartile range (IQR)27660

Descriptive statistics

Standard deviation76457.851
Coefficient of variation (CV)1.8443483
Kurtosis7.9499491
Mean41455.212
Median Absolute Deviation (MAD)14139
Skewness2.9266915
Sum1368022
Variance5.845803 × 109
MonotonicityNot monotonic
2024-03-14T22:40:05.194077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
31064 1
 
3.0%
17117 1
 
3.0%
3404 1
 
3.0%
16137 1
 
3.0%
2353 1
 
3.0%
35937 1
 
3.0%
44509 1
 
3.0%
27764 1
 
3.0%
2430 1
 
3.0%
21825 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
269 1
3.0%
2131 1
3.0%
2190 1
3.0%
2353 1
3.0%
2430 1
3.0%
2518 1
3.0%
2804 1
3.0%
3000 1
3.0%
3404 1
3.0%
3497 1
3.0%
ValueCountFrequency (%)
329268 1
3.0%
256981 1
3.0%
225668 1
3.0%
63468 1
3.0%
57052 1
3.0%
44509 1
3.0%
35937 1
3.0%
34707 1
3.0%
31064 1
3.0%
30699 1
3.0%

10월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49478.152
Minimum1420
Maximum341226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:40:05.574768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1420
5-th percentile2808.8
Q13860
median24182
Q347163
95-th percentile269823.6
Maximum341226
Range339806
Interquartile range (IQR)43303

Descriptive statistics

Standard deviation84861.688
Coefficient of variation (CV)1.7151346
Kurtosis7.809246
Mean49478.152
Median Absolute Deviation (MAD)20618
Skewness2.8988791
Sum1632779
Variance7.2015061 × 109
MonotonicityNot monotonic
2024-03-14T22:40:05.986324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
47163 1
 
3.0%
30539 1
 
3.0%
3556 1
 
3.0%
22983 1
 
3.0%
3334 1
 
3.0%
52950 1
 
3.0%
59045 1
 
3.0%
18933 1
 
3.0%
2950 1
 
3.0%
38998 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1420 1
3.0%
2597 1
3.0%
2950 1
3.0%
2969 1
3.0%
3334 1
3.0%
3536 1
3.0%
3556 1
3.0%
3564 1
3.0%
3860 1
3.0%
6803 1
3.0%
ValueCountFrequency (%)
341226 1
3.0%
339486 1
3.0%
223382 1
3.0%
67012 1
3.0%
65450 1
3.0%
59045 1
3.0%
52950 1
3.0%
50276 1
3.0%
47163 1
3.0%
38998 1
3.0%

11월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33705.242
Minimum975
Maximum221850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:40:06.381524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum975
5-th percentile1897.6
Q13804
median18390
Q333153
95-th percentile180452.8
Maximum221850
Range220875
Interquartile range (IQR)29349

Descriptive statistics

Standard deviation54889.763
Coefficient of variation (CV)1.628523
Kurtosis7.0340125
Mean33705.242
Median Absolute Deviation (MAD)14734
Skewness2.7774511
Sum1112273
Variance3.0128861 × 109
MonotonicityNot monotonic
2024-03-14T22:40:06.772983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
35184 1
 
3.0%
22186 1
 
3.0%
3008 1
 
3.0%
14923 1
 
3.0%
2287 1
 
3.0%
32006 1
 
3.0%
31654 1
 
3.0%
975 1
 
3.0%
3656 1
 
3.0%
34004 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
975 1
3.0%
1639 1
3.0%
2070 1
3.0%
2287 1
3.0%
3008 1
3.0%
3236 1
3.0%
3608 1
3.0%
3656 1
3.0%
3804 1
3.0%
3996 1
3.0%
ValueCountFrequency (%)
221850 1
3.0%
209890 1
3.0%
160828 1
3.0%
50049 1
3.0%
39736 1
3.0%
35184 1
3.0%
34004 1
3.0%
33383 1
3.0%
33153 1
3.0%
32006 1
3.0%

12월
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24875.485
Minimum1169
Maximum172358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-03-14T22:40:07.149198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1169
5-th percentile2313.4
Q13208
median9674
Q329613
95-th percentile129157.6
Maximum172358
Range171189
Interquartile range (IQR)26405

Descriptive statistics

Standard deviation40300.459
Coefficient of variation (CV)1.6200874
Kurtosis6.9296085
Mean24875.485
Median Absolute Deviation (MAD)6724
Skewness2.7191031
Sum820891
Variance1.624127 × 109
MonotonicityNot monotonic
2024-03-14T22:40:07.562446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
29983 1
 
3.0%
7379 1
 
3.0%
3116 1
 
3.0%
13174 1
 
3.0%
2545 1
 
3.0%
31415 1
 
3.0%
32926 1
 
3.0%
7375 1
 
3.0%
2950 1
 
3.0%
11186 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1169 1
3.0%
1966 1
3.0%
2545 1
3.0%
2753 1
3.0%
2874 1
3.0%
2950 1
3.0%
3116 1
3.0%
3148 1
3.0%
3208 1
3.0%
4167 1
3.0%
ValueCountFrequency (%)
172358 1
3.0%
130933 1
3.0%
127974 1
3.0%
43731 1
3.0%
33037 1
3.0%
32926 1
3.0%
31415 1
3.0%
29983 1
3.0%
29613 1
3.0%
23643 1
3.0%

데이터기준일자
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size392.0 B
2022-08-09
11 
2023-08-09
11 
2024-01-26
11 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-09
2nd row2022-08-09
3rd row2022-08-09
4th row2022-08-09
5th row2022-08-09

Common Values

ValueCountFrequency (%)
2022-08-09 11
33.3%
2023-08-09 11
33.3%
2024-01-26 11
33.3%

Length

2024-03-14T22:40:07.992412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:40:08.327317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-09 11
33.3%
2023-08-09 11
33.3%
2024-01-26 11
33.3%

Interactions

2024-03-14T22:39:52.664813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:13.605250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:17.157733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:21.293260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:24.326241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:27.183598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:30.242931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:32.461846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:34.764343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:37.102254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:40.131087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:43.702013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:47.188069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:50.080018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:52.940756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:13.864451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:17.416987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:21.450281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:24.588395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:27.347813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:30.436409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:32.616941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:34.922247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:37.252523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:40.387684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:43.955919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:47.445936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:50.236051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:53.202854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:14.118639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:17.666324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:21.652354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:24.848530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:27.507267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:30.626037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:32.829983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:35.080654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:37.613263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:40.643422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:44.205705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:47.703043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:50.417604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:53.463672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:14.377353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:18.077659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:21.911208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:25.114288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:27.668686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:30.775542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:33.027032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:35.326319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:37.812095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:40.899863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:44.459625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:47.960275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:50.625690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:53.721573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:14.632759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:18.345718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:22.171575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:25.375311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:27.926618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:30.927097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:33.183336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:35.487590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:37.962536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:41.161290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:44.714596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:48.222275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:50.775800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:53.990217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:14.897280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:18.744584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:22.438263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:25.643574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:28.198870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:31.083028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:33.343616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:35.652168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:38.118532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:41.427532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:44.975316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:48.488698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:50.929914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:54.233863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:15.142323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:19.020458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:22.690104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:25.873628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:28.446339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:31.219759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:33.485971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:35.797841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:38.255358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:41.675269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:45.213514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:48.641347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:51.060064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:54.493310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:15.396593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:19.351264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:22.840719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:26.025215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:28.703576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:31.361411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:33.635347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:35.947155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:38.425831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:41.925549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:45.459019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:48.791882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:51.201593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:54.654033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:15.653113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:19.636767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:22.999154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:26.182570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:28.965030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:31.513010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:33.791210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:36.105871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:38.678866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:42.185979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:45.710087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:48.945380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:51.346826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:54.838379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:15.896888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:20.039875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:23.142429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:26.329952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:29.394693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:31.735578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:33.936701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:36.250240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:38.909296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:42.438950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:45.952827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:49.282959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:51.482225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:55.035684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:16.153963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:20.378860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:23.311533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:26.488594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:29.559240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:31.887302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:34.174548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:36.480080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:39.158975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:42.700531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:46.204576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:49.444608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:51.707335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:55.275288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:16.408285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:20.703371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:23.568098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:26.642548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:29.769411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:32.029305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:34.320561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:36.645052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:39.399989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:42.950318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:46.450153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:49.612931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:51.946824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:55.465428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:16.664670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:20.912798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:23.829664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:26.803295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:29.931533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:32.181198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:34.474221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:36.804916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:39.649916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:43.205615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:46.701218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:49.768546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:52.191876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:55.611796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:16.901749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:21.134953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:24.067492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:27.022896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:30.072763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:32.310326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:34.607803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:36.942049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:39.877772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:43.443135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:46.934986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:49.910996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:39:52.419681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:40:08.577236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번년도관광지합계1월2월3월4월5월6월7월8월9월10월11월12월데이터기준일자
연번1.0000.9180.0000.0000.0000.1250.1850.1510.0000.2050.1300.0000.0530.3550.0000.0000.918
년도0.9181.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1820.0000.0000.0001.000
관광지0.0000.0001.0000.8010.8290.7560.2660.6270.8010.6380.5000.5290.3970.8600.7190.6990.000
합계0.0000.0000.8011.0000.9950.9910.9430.9710.8670.9610.9960.9570.9600.9790.8990.8870.000
1월0.0000.0000.8290.9951.0000.9940.9280.9410.9030.9700.9910.9470.9500.9670.8540.8770.000
2월0.1250.0000.7560.9910.9941.0000.9330.9240.8600.9680.9930.9570.9680.9760.8530.8820.000
3월0.1850.0000.2660.9430.9280.9331.0000.9880.8780.9640.9210.9310.9340.8940.8470.8970.000
4월0.1510.0000.6270.9710.9410.9240.9881.0000.9280.9670.9390.9460.9440.9200.9060.8870.000
5월0.0000.0000.8010.8670.9030.8600.8780.9281.0000.9730.8890.9650.9660.7710.9650.9850.000
6월0.2050.0000.6380.9610.9700.9680.9640.9670.9731.0000.9690.9950.9980.8660.9690.9740.000
7월0.1300.0000.5000.9960.9910.9930.9210.9390.8890.9691.0000.9440.9690.9650.9390.8680.000
8월0.0000.0000.5290.9570.9470.9570.9310.9460.9650.9950.9441.0000.9990.9040.9650.9770.000
9월0.0530.1820.3970.9600.9500.9680.9340.9440.9660.9980.9690.9991.0000.9050.9690.9770.182
10월0.3550.0000.8600.9790.9670.9760.8940.9200.7710.8660.9650.9040.9051.0000.9300.7780.000
11월0.0000.0000.7190.8990.8540.8530.8470.9060.9650.9690.9390.9650.9690.9301.0000.9150.000
12월0.0000.0000.6990.8870.8770.8820.8970.8870.9850.9740.8680.9770.9770.7780.9151.0000.000
데이터기준일자0.9181.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1820.0000.0000.0001.000
2024-03-14T22:40:08.973361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도관광지데이터기준일자
년도1.0000.0001.000
관광지0.0001.0000.000
데이터기준일자1.0000.0001.000
2024-03-14T22:40:09.483136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번합계1월2월3월4월5월6월7월8월9월10월11월12월년도관광지데이터기준일자
연번1.0000.0040.1470.117-0.018-0.003-0.006-0.048-0.040-0.009-0.011-0.027-0.180-0.0170.7730.0000.773
합계0.0041.0000.8640.9300.9020.9420.9830.9530.9790.9170.9580.9690.9270.9650.0000.3930.000
1월0.1470.8641.0000.9410.8110.8840.8680.8500.8330.7480.8220.8010.7220.8360.0000.4220.000
2월0.1170.9300.9411.0000.9190.9480.9210.9200.8940.8110.8790.8770.8060.9100.0000.3530.000
3월-0.0180.9020.8110.9191.0000.9430.8850.9050.8580.7520.8330.8530.8590.8840.0000.1220.000
4월-0.0030.9420.8840.9480.9431.0000.9550.9690.9220.8100.8970.9080.8750.9050.0000.3320.000
5월-0.0060.9830.8680.9210.8850.9551.0000.9620.9580.8930.9550.9570.9220.9470.0000.5280.000
6월-0.0480.9530.8500.9200.9050.9690.9621.0000.9400.8310.9090.9420.9150.8980.0000.3640.000
7월-0.0400.9790.8330.8940.8580.9220.9580.9401.0000.9470.9440.9500.9020.9380.0000.1940.000
8월-0.0090.9170.7480.8110.7520.8100.8930.8310.9471.0000.9130.9050.8450.8840.0000.2690.000
9월-0.0110.9580.8220.8790.8330.8970.9550.9090.9440.9131.0000.9710.8620.9160.1340.2040.134
10월-0.0270.9690.8010.8770.8530.9080.9570.9420.9500.9050.9711.0000.9300.9200.0000.4810.000
11월-0.1800.9270.7220.8060.8590.8750.9220.9150.9020.8450.8620.9301.0000.8920.0000.4370.000
12월-0.0170.9650.8360.9100.8840.9050.9470.8980.9380.8840.9160.9200.8921.0000.0000.4180.000
년도0.7730.0000.0000.0000.0000.0000.0000.0000.0000.0000.1340.0000.0000.0001.0000.0001.000
관광지0.0000.3930.4220.3530.1220.3320.5280.3640.1940.2690.2040.4810.4370.4180.0001.0000.000
데이터기준일자0.7730.0000.0000.0000.0000.0000.0000.0000.0000.0000.1340.0000.0000.0001.0000.0001.000

Missing values

2024-03-14T22:39:55.850765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:39:56.218003image/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

연번년도관광지합계1월2월3월4월5월6월7월8월9월10월11월12월데이터기준일자
012021년경암동철길마을3793221944632744227292862340331284792346640110310644716335184299832022-08-09
122021년군산근대역사박물관291780629621185189121644329358354192292735227218253899834004111862022-08-09
242021년군산새만금컨벤션센터2842416427812984288589920573902082691420399628742022-08-09
352021년군산컨트리클럽279045383412981195132676430647325302415620355306993606226272152322022-08-09
462021년금강철새조망대27401645151519402158287834541731238121903536380411692022-08-09
572021년선유도23334961468271444401509461944211763953645761903952276442256682233821608281279742022-08-09
682021년은파호수공원5101703879642702509206382359258532604392328568234262838033383437312022-08-09
792021년청암산103197158326263045950364711274815614158771080712217759851082022-08-09
8102021년청암산 오토캠핑장363763136298424202888344827482672307230003564323632082022-08-09
9112021년초원사진관117673860616592758999978174731001214503111101579211994117092022-08-09
연번년도관광지합계1월2월3월4월5월6월7월8월9월10월11월12월데이터기준일자
23252023년군산근대역사박물관4790842471140477350704071040451349153314761469445095904531654329262024-01-26
24262023년군산새만금컨벤션센터12917096771139478811200712555889550246690277641893397573752024-01-26
25272023년군산컨트리클럽191751915444715483206712300024301127121300117117305392218673792024-01-26
26282023년금강미래체험관(구 금강철새조망대)308251666158714092124396725631726379724302950365629502024-01-26
27292023년선유도30059231782331900731943722610512895282923572505722867753292683394862218501723582024-01-26
28302023년은파호수공원6452273888946523647008531958524609904449848947570526701239736330372024-01-26
29312023년청암산143681946713026164741352012630139065650839012999182841154977862024-01-26
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