Overview

Dataset statistics

Number of variables4
Number of observations365
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory35.4 B

Variable types

DateTime1
Numeric3

Dataset

Description2021년 1년간 나로우주센터 우주과학관 홈페이지의 접속경로 통계입니다. 해당 데이터가 보유한 컬럼은 다음과 같습니다. 컬럼 명: 접속일자, PC접속수, 모바일접속수, 전체접속수
Author한국항공우주연구원
URLhttps://www.data.go.kr/data/15090448/fileData.do

Alerts

PC접속수 is highly overall correlated with 전체접속수High correlation
모바일접속수 is highly overall correlated with 전체접속수High correlation
전체접속수 is highly overall correlated with PC접속수 and 1 other fieldsHigh correlation
접속일자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:54:41.133325
Analysis finished2023-12-12 07:54:42.365187
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접속일자
Date

UNIQUE 

Distinct365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2021-01-01 00:00:00
Maximum2021-12-31 00:00:00
2023-12-12T16:54:42.450881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:54:42.626729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

PC접속수
Real number (ℝ)

HIGH CORRELATION 

Distinct254
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean412.13973
Minimum120
Maximum4174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T16:54:42.792112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120
5-th percentile188
Q1270
median334
Q3434
95-th percentile845.8
Maximum4174
Range4054
Interquartile range (IQR)164

Descriptive statistics

Standard deviation324.69524
Coefficient of variation (CV)0.78782806
Kurtosis58.420415
Mean412.13973
Median Absolute Deviation (MAD)76
Skewness6.3054495
Sum150431
Variance105427
MonotonicityNot monotonic
2023-12-12T16:54:43.204823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
323 5
 
1.4%
341 4
 
1.1%
388 4
 
1.1%
340 3
 
0.8%
215 3
 
0.8%
296 3
 
0.8%
274 3
 
0.8%
349 3
 
0.8%
379 3
 
0.8%
266 3
 
0.8%
Other values (244) 331
90.7%
ValueCountFrequency (%)
120 1
0.3%
146 1
0.3%
149 1
0.3%
158 1
0.3%
159 1
0.3%
166 1
0.3%
169 1
0.3%
173 1
0.3%
176 2
0.5%
177 1
0.3%
ValueCountFrequency (%)
4174 1
0.3%
2584 1
0.3%
2349 1
0.3%
1765 1
0.3%
1513 1
0.3%
1440 1
0.3%
1215 1
0.3%
1141 1
0.3%
1080 1
0.3%
1015 1
0.3%

모바일접속수
Real number (ℝ)

HIGH CORRELATION 

Distinct180
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.17808
Minimum31
Maximum5904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T16:54:43.337308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile52.2
Q178
median107
Q3163
95-th percentile288.8
Maximum5904
Range5873
Interquartile range (IQR)85

Descriptive statistics

Standard deviation319.35621
Coefficient of variation (CV)2.0848688
Kurtosis290.96861
Mean153.17808
Median Absolute Deviation (MAD)37
Skewness16.255802
Sum55910
Variance101988.39
MonotonicityNot monotonic
2023-12-12T16:54:43.488341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97 9
 
2.5%
99 7
 
1.9%
66 7
 
1.9%
81 6
 
1.6%
92 6
 
1.6%
52 6
 
1.6%
67 5
 
1.4%
98 5
 
1.4%
89 5
 
1.4%
74 5
 
1.4%
Other values (170) 304
83.3%
ValueCountFrequency (%)
31 1
0.3%
32 1
0.3%
34 1
0.3%
35 1
0.3%
36 1
0.3%
40 1
0.3%
42 1
0.3%
44 1
0.3%
45 1
0.3%
47 1
0.3%
ValueCountFrequency (%)
5904 1
0.3%
1098 1
0.3%
850 1
0.3%
582 1
0.3%
576 1
0.3%
482 1
0.3%
463 1
0.3%
433 1
0.3%
417 1
0.3%
407 1
0.3%

전체접속수
Real number (ℝ)

HIGH CORRELATION 

Distinct281
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean565.31781
Minimum201
Maximum10078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T16:54:43.624920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201
5-th percentile277.2
Q1373
median465
Q3615
95-th percentile981.8
Maximum10078
Range9877
Interquartile range (IQR)242

Descriptive statistics

Standard deviation587.21618
Coefficient of variation (CV)1.0387364
Kurtosis191.14223
Mean565.31781
Median Absolute Deviation (MAD)110
Skewness12.269169
Sum206341
Variance344822.84
MonotonicityNot monotonic
2023-12-12T16:54:43.754647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449 4
 
1.1%
496 4
 
1.1%
470 4
 
1.1%
456 3
 
0.8%
422 3
 
0.8%
408 3
 
0.8%
390 3
 
0.8%
378 3
 
0.8%
392 3
 
0.8%
348 3
 
0.8%
Other values (271) 332
91.0%
ValueCountFrequency (%)
201 1
0.3%
205 1
0.3%
217 2
0.5%
239 1
0.3%
243 1
0.3%
250 1
0.3%
251 1
0.3%
253 2
0.5%
255 1
0.3%
260 1
0.3%
ValueCountFrequency (%)
10078 1
0.3%
3066 1
0.3%
2616 1
0.3%
2167 1
0.3%
2077 1
0.3%
1930 1
0.3%
1772 1
0.3%
1605 1
0.3%
1414 1
0.3%
1341 1
0.3%

Interactions

2023-12-12T16:54:41.865478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:54:41.228480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:54:41.544871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:54:41.987720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:54:41.356153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:54:41.642777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:54:42.093690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:54:41.457896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:54:41.752762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:54:43.833465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
PC접속수모바일접속수전체접속수
PC접속수1.0000.8560.999
모바일접속수0.8561.0000.740
전체접속수0.9990.7401.000
2023-12-12T16:54:43.919306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
PC접속수모바일접속수전체접속수
PC접속수1.0000.2820.900
모바일접속수0.2821.0000.614
전체접속수0.9000.6141.000

Missing values

2023-12-12T16:54:42.228665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:54:42.333536image/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

접속일자PC접속수모바일접속수전체접속수
02021-01-0118790277
12021-01-02166128294
22021-01-0344455499
32021-01-0428952341
42021-01-0525040290
52021-01-0617332205
62021-01-0715859217
72021-01-0824945294
82021-01-0928563348
92021-01-1028966355
접속일자PC접속수모바일접속수전체접속수
3552021-12-2237598473
3562021-12-23845105950
3572021-12-24530154684
3582021-12-25333163496
3592021-12-26300186486
3602021-12-27413175588
3612021-12-28555171726
3622021-12-29697165862
3632021-12-30476191667
3642021-12-31388211599