Overview

Dataset statistics

Number of variables6
Number of observations58
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory54.3 B

Variable types

Numeric4
DateTime1
Categorical1

Dataset

Description농림수산식품교육문화정보원 농업온 시스템의 이용현황통계의 대한 데이터로서이용현황순번, 이용현황날짜, 방문자수, 방문수, 페이지뷰수, 데이터등록일시 항목을 포함하고 있습니다.
Author농림수산식품교육문화정보원
URLhttps://www.data.go.kr/data/15122579/fileData.do

Alerts

이용현황순번 is highly overall correlated with 데이터등록일시High correlation
방문자수 is highly overall correlated with 방문수 and 1 other fieldsHigh correlation
방문수 is highly overall correlated with 방문자수 and 2 other fieldsHigh correlation
페이지뷰수 is highly overall correlated with 방문자수 and 2 other fieldsHigh correlation
데이터등록일시 is highly overall correlated with 이용현황순번 and 2 other fieldsHigh correlation
이용현황순번 has unique valuesUnique
방문자수 has unique valuesUnique
방문수 has unique valuesUnique
페이지뷰수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:42:58.518607
Analysis finished2023-12-12 17:43:00.586747
Duration2.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

이용현황순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.5
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-13T02:43:00.663394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.85
Q115.25
median29.5
Q343.75
95-th percentile55.15
Maximum58
Range57
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation16.886879
Coefficient of variation (CV)0.57243656
Kurtosis-1.2
Mean29.5
Median Absolute Deviation (MAD)14.5
Skewness0
Sum1711
Variance285.16667
MonotonicityStrictly increasing
2023-12-13T02:43:00.825194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
45 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%
49 1
1.7%
Distinct39
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2020-01-08 00:00:00
Maximum2020-02-19 00:00:00
2023-12-13T02:43:00.940074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:43:01.091266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

방문자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5006.0517
Minimum474
Maximum10047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-13T02:43:01.214086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum474
5-th percentile1365.2
Q13624.75
median5095
Q36347
95-th percentile8496.85
Maximum10047
Range9573
Interquartile range (IQR)2722.25

Descriptive statistics

Standard deviation2244.7673
Coefficient of variation (CV)0.44841072
Kurtosis-0.43982577
Mean5006.0517
Median Absolute Deviation (MAD)1436.5
Skewness-0.0041622989
Sum290351
Variance5038980.1
MonotonicityNot monotonic
2023-12-13T02:43:01.332532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4974 1
 
1.7%
5640 1
 
1.7%
7575 1
 
1.7%
4930 1
 
1.7%
4843 1
 
1.7%
5266 1
 
1.7%
1423 1
 
1.7%
3591 1
 
1.7%
4725 1
 
1.7%
5280 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
474 1
1.7%
1195 1
1.7%
1304 1
1.7%
1376 1
1.7%
1423 1
1.7%
1517 1
1.7%
1833 1
1.7%
1859 1
1.7%
1936 1
1.7%
2135 1
1.7%
ValueCountFrequency (%)
10047 1
1.7%
9562 1
1.7%
8649 1
1.7%
8470 1
1.7%
7998 1
1.7%
7678 1
1.7%
7623 1
1.7%
7575 1
1.7%
7552 1
1.7%
7547 1
1.7%

방문수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6006.8966
Minimum380
Maximum16236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-13T02:43:01.449437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum380
5-th percentile1297.5
Q13003.75
median3740
Q38545.5
95-th percentile14062.65
Maximum16236
Range15856
Interquartile range (IQR)5541.75

Descriptive statistics

Standard deviation4449.6387
Coefficient of variation (CV)0.74075501
Kurtosis-0.61353135
Mean6006.8966
Median Absolute Deviation (MAD)1986.5
Skewness0.84357235
Sum348400
Variance19799285
MonotonicityNot monotonic
2023-12-13T02:43:01.577492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7322 1
 
1.7%
3447 1
 
1.7%
12276 1
 
1.7%
3091 1
 
1.7%
3086 1
 
1.7%
3207 1
 
1.7%
1051 1
 
1.7%
2465 1
 
1.7%
3083 1
 
1.7%
3290 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
380 1
1.7%
869 1
1.7%
1051 1
1.7%
1341 1
1.7%
1471 1
1.7%
1636 1
1.7%
1671 1
1.7%
1836 1
1.7%
2175 1
1.7%
2330 1
1.7%
ValueCountFrequency (%)
16236 1
1.7%
15913 1
1.7%
14157 1
1.7%
14046 1
1.7%
13833 1
1.7%
12741 1
1.7%
12405 1
1.7%
12304 1
1.7%
12276 1
1.7%
12205 1
1.7%

페이지뷰수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53829.345
Minimum2547
Maximum108158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-13T02:43:01.709131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2547
5-th percentile13392.25
Q138208.75
median52618
Q374323
95-th percentile89591.6
Maximum108158
Range105611
Interquartile range (IQR)36114.25

Descriptive statistics

Standard deviation25105.389
Coefficient of variation (CV)0.46638852
Kurtosis-0.67467966
Mean53829.345
Median Absolute Deviation (MAD)20039
Skewness-0.10161868
Sum3122102
Variance6.3028054 × 108
MonotonicityNot monotonic
2023-12-13T02:43:02.114363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72914 1
 
1.7%
52260 1
 
1.7%
75756 1
 
1.7%
45718 1
 
1.7%
43783 1
 
1.7%
46406 1
 
1.7%
13876 1
 
1.7%
32836 1
 
1.7%
48339 1
 
1.7%
52449 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
2547 1
1.7%
6155 1
1.7%
12028 1
1.7%
13633 1
1.7%
13876 1
1.7%
17922 1
1.7%
19658 1
1.7%
21500 1
1.7%
21996 1
1.7%
22011 1
1.7%
ValueCountFrequency (%)
108158 1
1.7%
97827 1
1.7%
92179 1
1.7%
89135 1
1.7%
89018 1
1.7%
87118 1
1.7%
84244 1
1.7%
82283 1
1.7%
81660 1
1.7%
77638 1
1.7%

데이터등록일시
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
2020-02-26 17:09
33 
2020-02-26 17:40
25 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-02-26 17:09
2nd row2020-02-26 17:09
3rd row2020-02-26 17:09
4th row2020-02-26 17:09
5th row2020-02-26 17:09

Common Values

ValueCountFrequency (%)
2020-02-26 17:09 33
56.9%
2020-02-26 17:40 25
43.1%

Length

2023-12-13T02:43:02.222990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:43:02.302859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-02-26 58
50.0%
17:09 33
28.4%
17:40 25
21.6%

Interactions

2023-12-13T02:42:59.952877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:42:58.728413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:42:59.140710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:42:59.510151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:43:00.048171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:42:58.825103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:42:59.228137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:42:59.640260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:43:00.153166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:42:58.929446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:42:59.304369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:42:59.727008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:43:00.263535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:42:59.041447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:42:59.403552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:42:59.847469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:43:02.358411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용현황순번이용현황날짜방문자수방문수페이지뷰수데이터등록일시
이용현황순번1.0000.0000.6290.6760.7400.996
이용현황날짜0.0001.0000.9020.0920.8310.000
방문자수0.6290.9021.0000.9100.9580.548
방문수0.6760.0920.9101.0000.8910.760
페이지뷰수0.7400.8310.9580.8911.0000.851
데이터등록일시0.9960.0000.5480.7600.8511.000
2023-12-13T02:43:02.446069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용현황순번방문자수방문수페이지뷰수데이터등록일시
이용현황순번1.000-0.021-0.468-0.3120.873
방문자수-0.0211.0000.8290.9090.394
방문수-0.4680.8291.0000.8980.725
페이지뷰수-0.3120.9090.8981.0000.632
데이터등록일시0.8730.3940.7250.6321.000

Missing values

2023-12-13T02:43:00.404680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:43:00.533859image/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

이용현황순번이용현황날짜방문자수방문수페이지뷰수데이터등록일시
012020-02-1949747322729142020-02-26 17:09
122020-02-1851007538746442020-02-26 17:09
232020-02-1752427887816602020-02-26 17:09
342020-02-1618592419220112020-02-26 17:09
452020-02-1538485381498062020-02-26 17:09
562020-02-1348666968678962020-02-26 17:09
672020-02-1149827309681582020-02-26 17:09
782020-02-0918332330219962020-02-26 17:09
892020-02-0837265315494932020-02-26 17:09
9102020-02-0650557442696832020-02-26 17:09
이용현황순번이용현황날짜방문자수방문수페이지뷰수데이터등록일시
48492020-01-3050903072544932020-02-26 17:40
49502020-01-2849052981488802020-02-26 17:40
50512020-01-27119586961552020-02-26 17:40
51522020-01-2547438025472020-02-26 17:40
52532020-01-2421351471215002020-02-26 17:40
53542020-01-2346042726417542020-02-26 17:40
54552020-01-2253803077524822020-02-26 17:40
55562020-01-2069613672640702020-02-26 17:40
56572020-01-1919361341196582020-02-26 17:40
57582020-01-1755753191537522020-02-26 17:40