Overview

Dataset statistics

Number of variables5
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory51.1 B

Variable types

Numeric5

Dataset

Description편안하고 안락한 여행(휴양림, 수목원 정보)2003~2023년 안면도자연휴양림 이용객 수, 입장료 및 시설사용료 등 수입에 관한 내용입니다
Author충청남도
URLhttps://www.data.go.kr/data/3078020/fileData.do

Alerts

연도별 is highly overall correlated with 유료인원 and 1 other fieldsHigh correlation
총인원 is highly overall correlated with 유료인원 and 1 other fieldsHigh correlation
유료인원 is highly overall correlated with 연도별 and 2 other fieldsHigh correlation
무료인원 is highly overall correlated with 연도별High correlation
입장료및시설사용료 수입(천원) is highly overall correlated with 총인원 and 1 other fieldsHigh correlation
연도별 has unique valuesUnique
총인원 has unique valuesUnique
유료인원 has unique valuesUnique
무료인원 has unique valuesUnique
입장료및시설사용료 수입(천원) has unique valuesUnique

Reproduction

Analysis started2024-03-14 17:43:24.329034
Analysis finished2024-03-14 17:43:31.029619
Duration6.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도별
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013
Minimum2003
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T02:43:31.138296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2003
5-th percentile2004
Q12008
median2013
Q32018
95-th percentile2022
Maximum2023
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.0030823829
Kurtosis-1.2
Mean2013
Median Absolute Deviation (MAD)5
Skewness0
Sum42273
Variance38.5
MonotonicityStrictly increasing
2024-03-15T02:43:31.614889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2003 1
 
4.8%
2004 1
 
4.8%
2023 1
 
4.8%
2022 1
 
4.8%
2021 1
 
4.8%
2020 1
 
4.8%
2019 1
 
4.8%
2018 1
 
4.8%
2017 1
 
4.8%
2016 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
2003 1
4.8%
2004 1
4.8%
2005 1
4.8%
2006 1
4.8%
2007 1
4.8%
2008 1
4.8%
2009 1
4.8%
2010 1
4.8%
2011 1
4.8%
2012 1
4.8%
ValueCountFrequency (%)
2023 1
4.8%
2022 1
4.8%
2021 1
4.8%
2020 1
4.8%
2019 1
4.8%
2018 1
4.8%
2017 1
4.8%
2016 1
4.8%
2015 1
4.8%
2014 1
4.8%

총인원
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean394359.29
Minimum184422
Maximum649090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T02:43:32.062618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184422
5-th percentile192990
Q1358294
median406166
Q3451739
95-th percentile477393
Maximum649090
Range464668
Interquartile range (IQR)93445

Descriptive statistics

Standard deviation99280.666
Coefficient of variation (CV)0.25175182
Kurtosis2.1115589
Mean394359.29
Median Absolute Deviation (MAD)47872
Skewness-0.037361846
Sum8281545
Variance9.8566506 × 109
MonotonicityNot monotonic
2024-03-15T02:43:32.397829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
285051 1
 
4.8%
393816 1
 
4.8%
374536 1
 
4.8%
344004 1
 
4.8%
192990 1
 
4.8%
184422 1
 
4.8%
372985 1
 
4.8%
347427 1
 
4.8%
451739 1
 
4.8%
435498 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
184422 1
4.8%
192990 1
4.8%
285051 1
4.8%
344004 1
4.8%
347427 1
4.8%
358294 1
4.8%
365386 1
4.8%
372985 1
4.8%
374536 1
4.8%
393816 1
4.8%
ValueCountFrequency (%)
649090 1
4.8%
477393 1
4.8%
472235 1
4.8%
456405 1
4.8%
456305 1
4.8%
451739 1
4.8%
435498 1
4.8%
433714 1
4.8%
412511 1
4.8%
411578 1
4.8%

유료인원
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261121.95
Minimum100482
Maximum369992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T02:43:32.853922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100482
5-th percentile100554
Q1206581
median269035
Q3313736
95-th percentile353290
Maximum369992
Range269510
Interquartile range (IQR)107155

Descriptive statistics

Standard deviation79184.094
Coefficient of variation (CV)0.30324564
Kurtosis-0.2892898
Mean261121.95
Median Absolute Deviation (MAD)62454
Skewness-0.69533412
Sum5483561
Variance6.2701207 × 109
MonotonicityNot monotonic
2024-03-15T02:43:33.276310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
223671 1
 
4.8%
313736 1
 
4.8%
157070 1
 
4.8%
180695 1
 
4.8%
100554 1
 
4.8%
100482 1
 
4.8%
204385 1
 
4.8%
206581 1
 
4.8%
258616 1
 
4.8%
269035 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
100482 1
4.8%
100554 1
4.8%
157070 1
4.8%
180695 1
4.8%
204385 1
4.8%
206581 1
4.8%
223671 1
4.8%
258616 1
4.8%
260771 1
4.8%
267938 1
4.8%
ValueCountFrequency (%)
369992 1
4.8%
353290 1
4.8%
350595 1
4.8%
339733 1
4.8%
333528 1
4.8%
313736 1
4.8%
313023 1
4.8%
303942 1
4.8%
300134 1
4.8%
275790 1
4.8%

무료인원
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133234.95
Minimum61380
Maximum381152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T02:43:33.696889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61380
5-th percentile72638
Q192436
median111444
Q3163309
95-th percentile217466
Maximum381152
Range319772
Interquartile range (IQR)70873

Descriptive statistics

Standard deviation70074.654
Coefficient of variation (CV)0.52594798
Kurtosis7.4435568
Mean133234.95
Median Absolute Deviation (MAD)27504
Skewness2.4070809
Sum2797934
Variance4.9104571 × 109
MonotonicityNot monotonic
2024-03-15T02:43:34.170002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
61380 1
 
4.8%
80080 1
 
4.8%
217466 1
 
4.8%
163309 1
 
4.8%
92436 1
 
4.8%
83940 1
 
4.8%
168600 1
 
4.8%
140846 1
 
4.8%
193123 1
 
4.8%
166463 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
61380 1
4.8%
72638 1
4.8%
80080 1
4.8%
83940 1
4.8%
89596 1
4.8%
92436 1
4.8%
97523 1
4.8%
99488 1
4.8%
102243 1
4.8%
103115 1
4.8%
ValueCountFrequency (%)
381152 1
4.8%
217466 1
4.8%
193123 1
4.8%
168600 1
4.8%
166463 1
4.8%
163309 1
4.8%
140846 1
4.8%
129722 1
4.8%
126798 1
4.8%
116572 1
4.8%

입장료및시설사용료 수입(천원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean837322.71
Minimum491323
Maximum1011598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T02:43:34.579118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum491323
5-th percentile572978
Q1788521
median875262
Q3913833
95-th percentile1002187
Maximum1011598
Range520275
Interquartile range (IQR)125312

Descriptive statistics

Standard deviation135926.03
Coefficient of variation (CV)0.1623341
Kurtosis1.2723967
Mean837322.71
Median Absolute Deviation (MAD)68211
Skewness-1.2626718
Sum17583777
Variance1.8475886 × 1010
MonotonicityNot monotonic
2024-03-15T02:43:35.045567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
608378 1
 
4.8%
780963 1
 
4.8%
910553 1
 
4.8%
885677 1
 
4.8%
572978 1
 
4.8%
491323 1
 
4.8%
839951 1
 
4.8%
788521 1
 
4.8%
900405 1
 
4.8%
910330 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
491323 1
4.8%
572978 1
4.8%
608378 1
4.8%
778134 1
4.8%
780963 1
4.8%
788521 1
4.8%
793532 1
4.8%
831803 1
4.8%
839951 1
4.8%
855743 1
4.8%
ValueCountFrequency (%)
1011598 1
4.8%
1002187 1
4.8%
948210 1
4.8%
943473 1
4.8%
940923 1
4.8%
913833 1
4.8%
910553 1
4.8%
910330 1
4.8%
900405 1
4.8%
885677 1
4.8%

Interactions

2024-03-15T02:43:28.948588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:24.491408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:25.696346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:26.787303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:27.748421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:29.231536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:24.763677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:25.979145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:26.973048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:27.989076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:29.679596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:25.013328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:26.208048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:27.208716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:28.232200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:29.963069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:25.267819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:26.395341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:27.421472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:28.442436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:30.258152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:25.535657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:26.601955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:27.566114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:43:28.695673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:43:35.338912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도별총인원유료인원무료인원입장료및시설사용료 수입(천원)
연도별1.0000.8560.8580.5640.613
총인원0.8561.0000.7640.6020.896
유료인원0.8580.7641.0000.0000.718
무료인원0.5640.6020.0001.0000.000
입장료및시설사용료 수입(천원)0.6130.8960.7180.0001.000
2024-03-15T02:43:35.610942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도별총인원유료인원무료인원입장료및시설사용료 수입(천원)
연도별1.000-0.343-0.6730.5270.096
총인원-0.3431.0000.7510.4120.705
유료인원-0.6730.7511.000-0.1940.543
무료인원0.5270.412-0.1941.0000.482
입장료및시설사용료 수입(천원)0.0960.7050.5430.4821.000

Missing values

2024-03-15T02:43:30.586727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:43:30.903509image/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

연도별총인원유료인원무료인원입장료및시설사용료 수입(천원)
0200328505122367161380608378
1200439381631373680080780963
2200540616633352872638793532
32006472235369992102243875262
42007477393350595126798913833
5200835829426077197523778134
62009649090267938381152855743
7201036538627579089596831803
8201141251131302399488940923
92012433714303942129722948210
연도별총인원유료인원무료인원입장료및시설사용료 수입(천원)
1120144563053397331165721002187
122015411578300134111444943473
132016435498269035166463910330
142017451739258616193123900405
152018347427206581140846788521
162019372985204385168600839951
17202018442210048283940491323
18202119299010055492436572978
192022344004180695163309885677
202023374536157070217466910553