Overview

Dataset statistics

Number of variables13
Number of observations3833
Missing cells1894
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory423.1 KiB
Average record size in memory113.0 B

Variable types

DateTime1
Categorical2
Text1
Numeric9

Dataset

Description경기도_물향기수목원 일일 입장객 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=YJPPW4EGPTNOYK8EQD8N29256305&infSeq=1

Alerts

일일입장객수(유료+무료) is highly overall correlated with 유료입장객수 and 8 other fieldsHigh correlation
유료입장객수 is highly overall correlated with 일일입장객수(유료+무료) and 8 other fieldsHigh correlation
무료입장객수 is highly overall correlated with 일일입장객수(유료+무료) and 8 other fieldsHigh correlation
일일주차대수(유료+무료) is highly overall correlated with 일일입장객수(유료+무료) and 8 other fieldsHigh correlation
유료주차대수 is highly overall correlated with 일일입장객수(유료+무료) and 8 other fieldsHigh correlation
무료주차대수 is highly overall correlated with 일일입장객수(유료+무료) and 8 other fieldsHigh correlation
일일세입(입장료+주차료) is highly overall correlated with 일일입장객수(유료+무료) and 8 other fieldsHigh correlation
일일세입(입장료) is highly overall correlated with 일일입장객수(유료+무료) and 8 other fieldsHigh correlation
일일세입(주차료) is highly overall correlated with 일일입장객수(유료+무료) and 8 other fieldsHigh correlation
요일 is highly overall correlated with 비고High correlation
비고 is highly overall correlated with 일일입장객수(유료+무료) and 9 other fieldsHigh correlation
비고 is highly imbalanced (92.0%)Imbalance
날씨 has 544 (14.2%) missing valuesMissing
유료입장객수 has 223 (5.8%) missing valuesMissing
무료입장객수 has 223 (5.8%) missing valuesMissing
유료주차대수 has 223 (5.8%) missing valuesMissing
무료주차대수 has 223 (5.8%) missing valuesMissing
일일세입(입장료) has 223 (5.8%) missing valuesMissing
일일세입(주차료) has 223 (5.8%) missing valuesMissing
일자 has unique valuesUnique
일일입장객수(유료+무료) has 562 (14.7%) zerosZeros
유료입장객수 has 347 (9.1%) zerosZeros
무료입장객수 has 345 (9.0%) zerosZeros
일일주차대수(유료+무료) has 567 (14.8%) zerosZeros
유료주차대수 has 350 (9.1%) zerosZeros
무료주차대수 has 480 (12.5%) zerosZeros
일일세입(입장료+주차료) has 562 (14.7%) zerosZeros
일일세입(입장료) has 347 (9.1%) zerosZeros
일일세입(주차료) has 349 (9.1%) zerosZeros

Reproduction

Analysis started2023-12-10 21:27:18.616463
Analysis finished2023-12-10 21:27:27.525331
Duration8.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

UNIQUE 

Distinct3833
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size30.1 KiB
Minimum2013-01-01 00:00:00
Maximum2023-06-30 00:00:00
2023-12-11T06:27:27.589685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:27.718892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

요일
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size30.1 KiB
548 
548 
548 
548 
547 
Other values (3)
1094 

Length

Max length4
Median length1
Mean length1.0007827
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
548
14.3%
548
14.3%
548
14.3%
548
14.3%
547
14.3%
547
14.3%
546
14.2%
<NA> 1
 
< 0.1%

Length

2023-12-11T06:27:27.844236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:27:27.952996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
548
14.3%
548
14.3%
548
14.3%
548
14.3%
547
14.3%
547
14.3%
546
14.2%
na 1
 
< 0.1%

날씨
Text

MISSING 

Distinct64
Distinct (%)1.9%
Missing544
Missing (%)14.2%
Memory size30.1 KiB
2023-12-11T06:27:28.092052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.1790818
Min length1

Characters and Unicode

Total characters7167
Distinct characters47
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)0.9%

Sample

1st row흐림
2nd row
3rd row흐림
4th row흐림
5th row맑음
ValueCountFrequency (%)
맑음 2284
69.3%
흐림 376
 
11.4%
218
 
6.6%
비/흐림 73
 
2.2%
흐림/비 71
 
2.2%
맑음/흐림 36
 
1.1%
33
 
1.0%
흐림/맑음 24
 
0.7%
비/맑음 19
 
0.6%
흐리고비 14
 
0.4%
Other values (54) 150
 
4.5%
2023-12-11T06:27:28.332337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2426
33.8%
2418
33.7%
655
 
9.1%
639
 
8.9%
452
 
6.3%
/ 299
 
4.2%
67
 
0.9%
, 25
 
0.3%
20
 
0.3%
20
 
0.3%
Other values (37) 146
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6825
95.2%
Other Punctuation 331
 
4.6%
Space Separator 9
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2426
35.5%
2418
35.4%
655
 
9.6%
639
 
9.4%
452
 
6.6%
67
 
1.0%
20
 
0.3%
20
 
0.3%
17
 
0.2%
15
 
0.2%
Other values (30) 96
 
1.4%
Other Punctuation
ValueCountFrequency (%)
/ 299
90.3%
, 25
 
7.6%
. 4
 
1.2%
? 3
 
0.9%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6825
95.2%
Common 342
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2426
35.5%
2418
35.4%
655
 
9.6%
639
 
9.4%
452
 
6.6%
67
 
1.0%
20
 
0.3%
20
 
0.3%
17
 
0.2%
15
 
0.2%
Other values (30) 96
 
1.4%
Common
ValueCountFrequency (%)
/ 299
87.4%
, 25
 
7.3%
9
 
2.6%
. 4
 
1.2%
? 3
 
0.9%
( 1
 
0.3%
) 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6825
95.2%
ASCII 342
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2426
35.5%
2418
35.4%
655
 
9.6%
639
 
9.4%
452
 
6.6%
67
 
1.0%
20
 
0.3%
20
 
0.3%
17
 
0.2%
15
 
0.2%
Other values (30) 96
 
1.4%
ASCII
ValueCountFrequency (%)
/ 299
87.4%
, 25
 
7.3%
9
 
2.6%
. 4
 
1.2%
? 3
 
0.9%
( 1
 
0.3%
) 1
 
0.3%

일일입장객수(유료+무료)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1844
Distinct (%)48.2%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1082.8279
Minimum0
Maximum20842
Zeros562
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size33.8 KiB
2023-12-11T06:27:28.456313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q194
median444
Q31387
95-th percentile4328.6
Maximum20842
Range20842
Interquartile range (IQR)1293

Descriptive statistics

Standard deviation1578.4761
Coefficient of variation (CV)1.457735
Kurtosis14.454669
Mean1082.8279
Median Absolute Deviation (MAD)442
Skewness2.9133329
Sum4146148
Variance2491586.9
MonotonicityNot monotonic
2023-12-11T06:27:28.582203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 562
 
14.7%
52 12
 
0.3%
65 10
 
0.3%
51 10
 
0.3%
158 9
 
0.2%
245 9
 
0.2%
56 9
 
0.2%
100 8
 
0.2%
89 8
 
0.2%
57 8
 
0.2%
Other values (1834) 3184
83.1%
ValueCountFrequency (%)
0 562
14.7%
1 1
 
< 0.1%
5 2
 
0.1%
7 1
 
< 0.1%
8 2
 
0.1%
9 1
 
< 0.1%
10 2
 
0.1%
11 1
 
< 0.1%
12 4
 
0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
20842 1
< 0.1%
15070 1
< 0.1%
11994 1
< 0.1%
11971 1
< 0.1%
11577 1
< 0.1%
11167 1
< 0.1%
10896 1
< 0.1%
10841 1
< 0.1%
10649 1
< 0.1%
9321 1
< 0.1%

유료입장객수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct1482
Distinct (%)41.1%
Missing223
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean738.48116
Minimum0
Maximum8102
Zeros347
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size33.8 KiB
2023-12-11T06:27:28.698359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q182
median313
Q3840.75
95-th percentile3134.55
Maximum8102
Range8102
Interquartile range (IQR)758.75

Descriptive statistics

Standard deviation1083.9805
Coefficient of variation (CV)1.4678512
Kurtosis7.2785225
Mean738.48116
Median Absolute Deviation (MAD)275
Skewness2.5133105
Sum2665917
Variance1175013.7
MonotonicityNot monotonic
2023-12-11T06:27:28.820284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 347
 
9.1%
40 17
 
0.4%
38 14
 
0.4%
53 13
 
0.3%
47 12
 
0.3%
29 12
 
0.3%
31 12
 
0.3%
36 12
 
0.3%
56 12
 
0.3%
17 11
 
0.3%
Other values (1472) 3148
82.1%
(Missing) 223
 
5.8%
ValueCountFrequency (%)
0 347
9.1%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 3
 
0.1%
6 1
 
< 0.1%
8 4
 
0.1%
9 4
 
0.1%
10 4
 
0.1%
ValueCountFrequency (%)
8102 1
< 0.1%
7845 1
< 0.1%
7492 1
< 0.1%
7432 1
< 0.1%
6811 1
< 0.1%
6664 1
< 0.1%
6562 1
< 0.1%
6413 1
< 0.1%
6369 1
< 0.1%
6287 1
< 0.1%

무료입장객수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct1157
Distinct (%)32.0%
Missing223
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean410.03629
Minimum0
Maximum20842
Zeros345
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size33.8 KiB
2023-12-11T06:27:28.949061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q146
median181
Q3566.75
95-th percentile1393.75
Maximum20842
Range20842
Interquartile range (IQR)520.75

Descriptive statistics

Standard deviation718.92371
Coefficient of variation (CV)1.7533173
Kurtosis258.19554
Mean410.03629
Median Absolute Deviation (MAD)167
Skewness11.667175
Sum1480231
Variance516851.29
MonotonicityNot monotonic
2023-12-11T06:27:29.067484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 345
 
9.0%
23 25
 
0.7%
25 19
 
0.5%
34 18
 
0.5%
29 18
 
0.5%
26 17
 
0.4%
17 16
 
0.4%
56 16
 
0.4%
13 15
 
0.4%
12 15
 
0.4%
Other values (1147) 3106
81.0%
(Missing) 223
 
5.8%
ValueCountFrequency (%)
0 345
9.0%
1 7
 
0.2%
2 7
 
0.2%
3 15
 
0.4%
4 10
 
0.3%
5 9
 
0.2%
6 14
 
0.4%
7 11
 
0.3%
8 13
 
0.3%
9 11
 
0.3%
ValueCountFrequency (%)
20842 1
< 0.1%
15070 1
< 0.1%
11971 1
< 0.1%
8914 1
< 0.1%
7215 1
< 0.1%
7186 1
< 0.1%
5741 1
< 0.1%
5647 1
< 0.1%
4149 1
< 0.1%
4085 1
< 0.1%

일일주차대수(유료+무료)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct875
Distinct (%)22.9%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean235.52233
Minimum0
Maximum1525
Zeros567
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size33.8 KiB
2023-12-11T06:27:29.175416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124
median105
Q3280
95-th percentile1053.8
Maximum1525
Range1525
Interquartile range (IQR)256

Descriptive statistics

Standard deviation322.68296
Coefficient of variation (CV)1.3700737
Kurtosis2.921326
Mean235.52233
Median Absolute Deviation (MAD)97
Skewness1.918078
Sum901815
Variance104124.29
MonotonicityNot monotonic
2023-12-11T06:27:29.294025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 567
 
14.8%
19 28
 
0.7%
22 28
 
0.7%
16 28
 
0.7%
17 23
 
0.6%
23 22
 
0.6%
18 22
 
0.6%
14 21
 
0.5%
30 21
 
0.5%
61 21
 
0.5%
Other values (865) 3048
79.5%
ValueCountFrequency (%)
0 567
14.8%
1 5
 
0.1%
2 3
 
0.1%
3 6
 
0.2%
4 10
 
0.3%
5 10
 
0.3%
6 11
 
0.3%
7 14
 
0.4%
8 11
 
0.3%
9 14
 
0.4%
ValueCountFrequency (%)
1525 1
< 0.1%
1495 1
< 0.1%
1494 1
< 0.1%
1487 1
< 0.1%
1476 2
0.1%
1439 1
< 0.1%
1428 1
< 0.1%
1418 1
< 0.1%
1408 1
< 0.1%
1397 1
< 0.1%

유료주차대수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct829
Distinct (%)23.0%
Missing223
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean235.39058
Minimum0
Maximum1442
Zeros350
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size33.8 KiB
2023-12-11T06:27:29.416079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130
median110
Q3272
95-th percentile1010.2
Maximum1442
Range1442
Interquartile range (IQR)242

Descriptive statistics

Standard deviation312.21692
Coefficient of variation (CV)1.3263781
Kurtosis2.6756054
Mean235.39058
Median Absolute Deviation (MAD)94
Skewness1.8645698
Sum849760
Variance97479.407
MonotonicityNot monotonic
2023-12-11T06:27:29.553759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 350
 
9.1%
14 29
 
0.8%
18 28
 
0.7%
16 28
 
0.7%
24 28
 
0.7%
17 27
 
0.7%
9 27
 
0.7%
19 26
 
0.7%
13 24
 
0.6%
20 23
 
0.6%
Other values (819) 3020
78.8%
(Missing) 223
 
5.8%
ValueCountFrequency (%)
0 350
9.1%
1 6
 
0.2%
2 5
 
0.1%
3 9
 
0.2%
4 12
 
0.3%
5 11
 
0.3%
6 15
 
0.4%
7 18
 
0.5%
8 21
 
0.5%
9 27
 
0.7%
ValueCountFrequency (%)
1442 1
< 0.1%
1435 1
< 0.1%
1430 1
< 0.1%
1408 1
< 0.1%
1406 1
< 0.1%
1395 1
< 0.1%
1392 1
< 0.1%
1376 1
< 0.1%
1375 1
< 0.1%
1373 1
< 0.1%

무료주차대수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct99
Distinct (%)2.7%
Missing223
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean14.422438
Minimum0
Maximum623
Zeros480
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size33.8 KiB
2023-12-11T06:27:29.677168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8
Q320
95-th percentile50
Maximum623
Range623
Interquartile range (IQR)17

Descriptive statistics

Standard deviation20.131521
Coefficient of variation (CV)1.3958473
Kurtosis242.92762
Mean14.422438
Median Absolute Deviation (MAD)7
Skewness9.5319172
Sum52065
Variance405.27813
MonotonicityNot monotonic
2023-12-11T06:27:29.792591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 480
 
12.5%
1 206
 
5.4%
2 200
 
5.2%
3 189
 
4.9%
4 179
 
4.7%
5 160
 
4.2%
6 155
 
4.0%
8 147
 
3.8%
7 130
 
3.4%
9 114
 
3.0%
Other values (89) 1650
43.0%
(Missing) 223
 
5.8%
ValueCountFrequency (%)
0 480
12.5%
1 206
5.4%
2 200
5.2%
3 189
 
4.9%
4 179
 
4.7%
5 160
 
4.2%
6 155
 
4.0%
7 130
 
3.4%
8 147
 
3.8%
9 114
 
3.0%
ValueCountFrequency (%)
623 1
< 0.1%
296 1
< 0.1%
114 1
< 0.1%
108 1
< 0.1%
104 2
0.1%
100 1
< 0.1%
98 1
< 0.1%
96 1
< 0.1%
93 1
< 0.1%
92 1
< 0.1%

일일세입(입장료+주차료)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2993
Distinct (%)78.2%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1557923.1
Minimum0
Maximum14655000
Zeros562
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size33.8 KiB
2023-12-11T06:27:30.159227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1137400
median661500
Q31804700
95-th percentile6862720
Maximum14655000
Range14655000
Interquartile range (IQR)1667300

Descriptive statistics

Standard deviation2255582.2
Coefficient of variation (CV)1.4478136
Kurtosis4.9123671
Mean1557923.1
Median Absolute Deviation (MAD)613500
Skewness2.2205464
Sum5.9652877 × 109
Variance5.0876513 × 1012
MonotonicityNot monotonic
2023-12-11T06:27:30.276400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 562
 
14.7%
94500 6
 
0.2%
30000 4
 
0.1%
63000 4
 
0.1%
97500 3
 
0.1%
31500 3
 
0.1%
115000 3
 
0.1%
112500 3
 
0.1%
84000 3
 
0.1%
52500 3
 
0.1%
Other values (2983) 3235
84.4%
(Missing) 4
 
0.1%
ValueCountFrequency (%)
0 562
14.7%
3000 2
 
0.1%
7500 1
 
< 0.1%
10000 1
 
< 0.1%
10500 2
 
0.1%
12000 1
 
< 0.1%
15500 1
 
< 0.1%
16400 1
 
< 0.1%
16500 1
 
< 0.1%
18000 1
 
< 0.1%
ValueCountFrequency (%)
14655000 1
< 0.1%
14563500 1
< 0.1%
13073300 1
< 0.1%
12919800 1
< 0.1%
12768700 1
< 0.1%
12488800 1
< 0.1%
12032700 1
< 0.1%
12017000 1
< 0.1%
11759800 1
< 0.1%
11644700 1
< 0.1%

일일세입(입장료)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct2865
Distinct (%)79.4%
Missing223
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean992625.26
Minimum0
Maximum11446000
Zeros347
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size33.8 KiB
2023-12-11T06:27:30.446235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1111925
median429700
Q31140300
95-th percentile4242030
Maximum11446000
Range11446000
Interquartile range (IQR)1028375

Descriptive statistics

Standard deviation1436823.3
Coefficient of variation (CV)1.4474982
Kurtosis6.734061
Mean992625.26
Median Absolute Deviation (MAD)375700
Skewness2.4345016
Sum3.5833772 × 109
Variance2.0644611 × 1012
MonotonicityNot monotonic
2023-12-11T06:27:30.578180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 347
 
9.1%
25500 7
 
0.2%
46500 6
 
0.2%
70500 6
 
0.2%
60000 6
 
0.2%
54000 6
 
0.2%
25000 5
 
0.1%
105000 5
 
0.1%
84000 5
 
0.1%
12000 5
 
0.1%
Other values (2855) 3212
83.8%
(Missing) 223
 
5.8%
ValueCountFrequency (%)
0 347
9.1%
1500 1
 
< 0.1%
3000 1
 
< 0.1%
4500 1
 
< 0.1%
6000 1
 
< 0.1%
7000 1
 
< 0.1%
7500 2
 
0.1%
9000 2
 
0.1%
10000 1
 
< 0.1%
10400 1
 
< 0.1%
ValueCountFrequency (%)
11446000 1
< 0.1%
10892000 1
< 0.1%
9465800 1
< 0.1%
9106800 1
< 0.1%
8931200 1
< 0.1%
8603800 1
< 0.1%
8424700 1
< 0.1%
8102800 1
< 0.1%
8005000 1
< 0.1%
7937700 1
< 0.1%

일일세입(주차료)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct1740
Distinct (%)48.2%
Missing223
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean659809
Minimum0
Maximum4049000
Zeros349
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size33.8 KiB
2023-12-11T06:27:30.716988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q184125
median309750
Q3778250
95-th percentile2842200
Maximum4049000
Range4049000
Interquartile range (IQR)694125

Descriptive statistics

Standard deviation872774.31
Coefficient of variation (CV)1.3227681
Kurtosis2.6799013
Mean659809
Median Absolute Deviation (MAD)266250
Skewness1.8608477
Sum2.3819105 × 109
Variance7.61735 × 1011
MonotonicityNot monotonic
2023-12-11T06:27:30.853309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 349
 
9.1%
48000 18
 
0.5%
25500 18
 
0.5%
51000 16
 
0.4%
45000 16
 
0.4%
40500 15
 
0.4%
58500 15
 
0.4%
52500 14
 
0.4%
64500 14
 
0.4%
55500 13
 
0.3%
Other values (1730) 3122
81.5%
(Missing) 223
 
5.8%
ValueCountFrequency (%)
0 349
9.1%
1500 2
 
0.1%
3000 3
 
0.1%
4500 1
 
< 0.1%
6000 3
 
0.1%
7500 5
 
0.1%
9000 5
 
0.1%
10500 5
 
0.1%
12000 7
 
0.2%
13500 3
 
0.1%
ValueCountFrequency (%)
4049000 1
< 0.1%
4012000 1
< 0.1%
3971000 1
< 0.1%
3966500 1
< 0.1%
3922500 1
< 0.1%
3886000 1
< 0.1%
3885000 1
< 0.1%
3853500 1
< 0.1%
3837500 1
< 0.1%
3836000 1
< 0.1%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size30.1 KiB
<NA>
3648 
휴원일
 
167
무료입장
 
4
추석
 
2
설날(휴원일)
 
1
Other values (11)
 
11

Length

Max length7
Median length4
Mean length3.954083
Min length2

Unique

Unique12 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3648
95.2%
휴원일 167
 
4.4%
무료입장 4
 
0.1%
추석 2
 
0.1%
설날(휴원일) 1
 
< 0.1%
광복절 1
 
< 0.1%
한글날 1
 
< 0.1%
대체공휴일 1
 
< 0.1%
추석익일 1
 
< 0.1%
개천절 1
 
< 0.1%
Other values (6) 6
 
0.2%

Length

2023-12-11T06:27:30.994871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3648
95.2%
휴원일 167
 
4.4%
무료입장 4
 
0.1%
추석 2
 
0.1%
설날(휴원일 1
 
< 0.1%
광복절 1
 
< 0.1%
한글날 1
 
< 0.1%
대체공휴일 1
 
< 0.1%
추석익일 1
 
< 0.1%
개천절 1
 
< 0.1%
Other values (6) 6
 
0.2%

Interactions

2023-12-11T06:27:25.856961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:19.695613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:20.459207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:21.262611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:22.146334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:22.901450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:23.694349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:24.428636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:25.135089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:25.937286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:19.760784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:20.539941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:21.343928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:22.223123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:22.989627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:23.762810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:24.500462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:25.203835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:26.026245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:19.847995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:20.632115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:21.427237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:22.307899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:23.093182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:23.841221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:24.586080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:25.284243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:26.101654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:19.915339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:20.729684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:21.513144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:22.385333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:23.176740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:23.911222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:24.655405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:25.355216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:26.190333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:19.998659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:20.817452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:21.594999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:22.468109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:23.265951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:23.990459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:24.736620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:25.443107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:26.543185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:20.088636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:20.903829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:21.667196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:22.547236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:23.352977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:24.091229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:24.815885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:25.525955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:26.641938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:20.198019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:20.984305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:21.922491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:22.633531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:23.435302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:24.185356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:24.892747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:25.608427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:26.765820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:20.279132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:21.067259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:21.996890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:22.716879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:23.525352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:24.264106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:24.971727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:25.690404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:26.880661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:20.366489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:21.157462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:22.068115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:22.802402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:23.609535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:24.343447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:25.050509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:27:25.771224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:27:31.073887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요일날씨일일입장객수(유료+무료)유료입장객수무료입장객수일일주차대수(유료+무료)유료주차대수무료주차대수일일세입(입장료+주차료)일일세입(입장료)일일세입(주차료)비고
요일1.0000.1830.3200.4070.0330.4660.4540.1610.4440.4110.4510.854
날씨0.1831.0000.0000.0000.0000.2110.2250.0000.2190.2220.2290.670
일일입장객수(유료+무료)0.3200.0001.0000.8770.9460.7480.7480.4930.8210.8250.7600.937
유료입장객수0.4070.0000.8771.0000.4250.9100.9160.4240.9730.9880.9291.000
무료입장객수0.0330.0000.9460.4251.0000.3890.3780.2460.3350.3270.3690.835
일일주차대수(유료+무료)0.4660.2110.7480.9100.3891.0000.9980.4940.9480.9200.9930.955
유료주차대수0.4540.2250.7480.9160.3780.9981.0000.4810.9530.9250.9980.955
무료주차대수0.1610.0000.4930.4240.2460.4940.4811.0000.4570.4370.474NaN
일일세입(입장료+주차료)0.4440.2190.8210.9730.3350.9480.9530.4571.0000.9900.9550.980
일일세입(입장료)0.4110.2220.8250.9880.3270.9200.9250.4370.9901.0000.9320.995
일일세입(주차료)0.4510.2290.7600.9290.3690.9930.9980.4740.9550.9321.0000.955
비고0.8540.6700.9371.0000.8350.9550.955NaN0.9800.9950.9551.000
2023-12-11T06:27:31.193463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고요일
비고1.0000.593
요일0.5931.000
2023-12-11T06:27:31.269675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일일입장객수(유료+무료)유료입장객수무료입장객수일일주차대수(유료+무료)유료주차대수무료주차대수일일세입(입장료+주차료)일일세입(입장료)일일세입(주차료)요일비고
일일입장객수(유료+무료)1.0000.9840.9770.9750.9710.8440.9880.9810.9760.1770.767
유료입장객수0.9841.0000.9330.9730.9750.8350.9900.9960.9780.2200.971
무료입장객수0.9770.9331.0000.9250.9250.8270.9390.9340.9300.0180.562
일일주차대수(유료+무료)0.9750.9730.9251.0000.9990.8970.9920.9790.9980.2580.816
유료주차대수0.9710.9750.9250.9991.0000.8810.9920.9810.9990.2500.813
무료주차대수0.8440.8350.8270.8970.8811.0000.8590.8430.8770.1111.000
일일세입(입장료+주차료)0.9880.9900.9390.9920.9920.8591.0000.9950.9940.2430.902
일일세입(입장료)0.9810.9960.9340.9790.9810.8430.9951.0000.9830.2220.922
일일세입(주차료)0.9760.9780.9300.9980.9990.8770.9940.9831.0000.2480.813
요일0.1770.2200.0180.2580.2500.1110.2430.2220.2481.0000.593
비고0.7670.9710.5620.8160.8131.0000.9020.9220.8130.5931.000

Missing values

2023-12-11T06:27:27.016567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:27:27.192633image/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.
2023-12-11T06:27:27.387278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

일자요일날씨일일입장객수(유료+무료)유료입장객수무료입장객수일일주차대수(유료+무료)유료주차대수무료주차대수일일세입(입장료+주차료)일일세입(입장료)일일세입(주차료)비고
02023-06-30흐림40021918111310310609600326100283500<NA>
12023-06-291074958251871200007350046500<NA>
22023-06-28흐림55227028214912623736100402600333500<NA>
32023-06-27흐림52729123614813414790300431800358500<NA>
42023-06-26<NA>0<NA><NA>0<NA><NA>0<NA><NA><NA>
52023-06-25맑음1773123453952349132310780017893001318500<NA>
62023-06-24맑음2099143066960656343358820020867001501500<NA>
72023-06-23맑음8133674461601519947400541400406000<NA>
82023-06-22맑음926492434219201181258900700900558000<NA>
92023-06-214373538411710611660700360700300000<NA>
일자요일날씨일일입장객수(유료+무료)유료입장객수무료입장객수일일주차대수(유료+무료)유료주차대수무료주차대수일일세입(입장료+주차료)일일세입(입장료)일일세입(주차료)비고
38232013-01-10맑음31229541319001990012000<NA>
38242013-01-09맑음2417733022400149007500<NA>
38252013-01-08흐림71482312102730004600027000<NA>
38262013-01-07<NA>000000000휴원일
38272013-01-06맑음3292527779718440300228800211500<NA>
38282013-01-05맑음147115323231120140011140090000<NA>
38292013-01-04맑음29236880434002090022500<NA>
38302013-01-03맑음18126651270001200015000<NA>
38312013-01-02맑음393541091579003240025500<NA>
38322013-01-013292686168608417500243500174000<NA>