Overview

Dataset statistics

Number of variables5
Number of observations120
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory44.1 B

Variable types

DateTime2
Numeric3

Dataset

Description광주광역시의 주요관광지점을 방문한 방문객 월별 현황입니다.(유료, 무료 구분)- 주요관광지점 입장객통계(국가승인통계 승인번호 제113005호)
Author광주광역시
URLhttps://www.data.go.kr/data/15019302/fileData.do

Alerts

방문객수 is highly overall correlated with 무료 and 1 other fieldsHigh correlation
무료 is highly overall correlated with 방문객수High correlation
유료 is highly overall correlated with 방문객수High correlation
방문기간시작일 has unique valuesUnique
방문기간종료일 has unique valuesUnique
방문객수 has unique valuesUnique
무료 has unique valuesUnique
유료 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:14:54.273668
Analysis finished2024-04-06 08:14:57.224272
Duration2.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

방문기간시작일
Date

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2014-01-01 00:00:00
Maximum2023-12-01 00:00:00
2024-04-06T17:14:57.357093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:14:57.660228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방문기간종료일
Date

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2014-01-31 00:00:00
Maximum2024-07-31 00:00:00
2024-04-06T17:14:58.078916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:14:58.417235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방문객수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean440028.51
Minimum96684
Maximum984816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T17:14:58.768135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96684
5-th percentile131522.5
Q1315974
median447110.5
Q3545337
95-th percentile743125.3
Maximum984816
Range888132
Interquartile range (IQR)229363

Descriptive statistics

Standard deviation181905.16
Coefficient of variation (CV)0.41339403
Kurtosis0.23973231
Mean440028.51
Median Absolute Deviation (MAD)110611
Skewness0.27608838
Sum52803421
Variance3.3089486 × 1010
MonotonicityNot monotonic
2024-04-06T17:14:59.047448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131057 1
 
0.8%
418658 1
 
0.8%
305392 1
 
0.8%
423383 1
 
0.8%
337203 1
 
0.8%
311446 1
 
0.8%
246259 1
 
0.8%
174957 1
 
0.8%
194731 1
 
0.8%
337983 1
 
0.8%
Other values (110) 110
91.7%
ValueCountFrequency (%)
96684 1
0.8%
100598 1
0.8%
107007 1
0.8%
120605 1
0.8%
128504 1
0.8%
131057 1
0.8%
131547 1
0.8%
141922 1
0.8%
145164 1
0.8%
171936 1
0.8%
ValueCountFrequency (%)
984816 1
0.8%
926148 1
0.8%
863611 1
0.8%
824251 1
0.8%
819369 1
0.8%
791923 1
0.8%
740557 1
0.8%
725590 1
0.8%
694576 1
0.8%
667124 1
0.8%

무료
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean279677.29
Minimum22596
Maximum627194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T17:14:59.356146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22596
5-th percentile40188.95
Q1185490.75
median306366
Q3375615.5
95-th percentile457352.2
Maximum627194
Range604598
Interquartile range (IQR)190124.75

Descriptive statistics

Standard deviation137115.49
Coefficient of variation (CV)0.49026321
Kurtosis-0.52299204
Mean279677.29
Median Absolute Deviation (MAD)80247.5
Skewness-0.33829584
Sum33561275
Variance1.8800657 × 1010
MonotonicityNot monotonic
2024-04-06T17:14:59.653296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44160 1
 
0.8%
319871 1
 
0.8%
71660 1
 
0.8%
137654 1
 
0.8%
97687 1
 
0.8%
79414 1
 
0.8%
61624 1
 
0.8%
22596 1
 
0.8%
169354 1
 
0.8%
265615 1
 
0.8%
Other values (110) 110
91.7%
ValueCountFrequency (%)
22596 1
0.8%
24399 1
0.8%
25945 1
0.8%
26141 1
0.8%
34567 1
0.8%
35609 1
0.8%
40430 1
0.8%
44160 1
0.8%
48904 1
0.8%
50389 1
0.8%
ValueCountFrequency (%)
627194 1
0.8%
591498 1
0.8%
510750 1
0.8%
473351 1
0.8%
468042 1
0.8%
465849 1
0.8%
456905 1
0.8%
456815 1
0.8%
442272 1
0.8%
439693 1
0.8%

유료
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160351.22
Minimum1091
Maximum488040
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T17:15:00.102930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1091
5-th percentile27896.1
Q1104817.5
median139991.5
Q3216225.75
95-th percentile287636.6
Maximum488040
Range486949
Interquartile range (IQR)111408.25

Descriptive statistics

Standard deviation84266.953
Coefficient of variation (CV)0.52551489
Kurtosis1.3967821
Mean160351.22
Median Absolute Deviation (MAD)54619.5
Skewness0.84077507
Sum19242146
Variance7.1009193 × 109
MonotonicityNot monotonic
2024-04-06T17:15:00.453815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86897 1
 
0.8%
98787 1
 
0.8%
233732 1
 
0.8%
285729 1
 
0.8%
239516 1
 
0.8%
232032 1
 
0.8%
184635 1
 
0.8%
152361 1
 
0.8%
25377 1
 
0.8%
72368 1
 
0.8%
Other values (110) 110
91.7%
ValueCountFrequency (%)
1091 1
0.8%
4828 1
0.8%
13639 1
0.8%
13878 1
0.8%
25377 1
0.8%
26872 1
0.8%
27950 1
0.8%
56254 1
0.8%
57351 1
0.8%
71398 1
0.8%
ValueCountFrequency (%)
488040 1
0.8%
381979 1
0.8%
379676 1
0.8%
357622 1
0.8%
344874 1
0.8%
323881 1
0.8%
285729 1
0.8%
274708 1
0.8%
272113 1
0.8%
267680 1
0.8%

Interactions

2024-04-06T17:14:56.311617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:14:54.976738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:14:55.724340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:14:56.502311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:14:55.138345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:14:55.924688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:14:56.679318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:14:55.429657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:14:56.106473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:15:00.648220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문객수무료유료
방문객수1.0000.8950.736
무료0.8951.0000.524
유료0.7360.5241.000
2024-04-06T17:15:00.905936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문객수무료유료
방문객수1.0000.9110.616
무료0.9111.0000.297
유료0.6160.2971.000

Missing values

2024-04-06T17:14:56.947432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:14:57.150243image/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

방문기간시작일방문기간종료일방문객수무료유료
02014-01-012014-01-311310574416086897
12014-02-012014-02-281005982614174457
22014-03-012014-03-3114516424399120765
32014-04-012014-04-3017193634567137369
42014-05-012014-05-3124899848904200094
52014-06-012014-06-3014192225945115977
62014-07-012014-07-311070073560971398
72014-08-012014-08-3117879272085106707
82014-09-012014-09-3018623553452132783
92014-10-012014-10-3125214257421194721
방문기간시작일방문기간종료일방문객수무료유료
1102023-03-012023-03-31519587340159179428
1112023-04-012023-04-30592260368602223658
1122023-05-012023-05-31664890410806254084
1132023-06-012023-06-30539339348630190709
1142023-07-012024-07-31501382276238225144
1152023-08-012023-08-31507670269610238060
1162023-09-012023-09-30604258339588264670
1172023-10-012023-10-31824251442272381979
1182023-11-012023-11-30572389347762224627
1192023-12-012023-12-31497627287424210203