Overview

Dataset statistics

Number of variables12
Number of observations178
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.6 KiB
Average record size in memory106.7 B

Variable types

Numeric8
Categorical4

Dataset

Description사이버 포럼에서 개설된 포럼에 대한 구성 데이터로 번호, 포럼번호, 메뉴번호, 읽기 그룹, 쓰기 그룹, 메뉴이름, 메뉴 소개 데이터를 제공
Author한국전력국제원자력대학원대학교
URLhttps://www.data.go.kr/data/15124086/fileData.do

Alerts

읽기등급 is highly overall correlated with 쓰기등급 and 2 other fieldsHigh correlation
메뉴소개 is highly overall correlated with 읽기등급 and 2 other fieldsHigh correlation
쓰기등급 is highly overall correlated with 읽기등급 and 2 other fieldsHigh correlation
메뉴명 is highly overall correlated with 읽기등급 and 2 other fieldsHigh correlation
번호 is highly overall correlated with 포럼인덱스 and 1 other fieldsHigh correlation
포럼인덱스 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
메뉴번호 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
읽기등급 is highly imbalanced (84.5%)Imbalance
번호 has unique valuesUnique
포럼작성글인덱스 has 19 (10.7%) zerosZeros
포럼소모임인덱스 has 20 (11.2%) zerosZeros
포럼소모임회원인덱스 has 22 (12.4%) zerosZeros
포럼추천글인덱스 has 22 (12.4%) zerosZeros
포럼발주인덱스 has 15 (8.4%) zerosZeros

Reproduction

Analysis started2023-12-12 19:05:22.126084
Analysis finished2023-12-12 19:05:29.398452
Duration7.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1497.9607
Minimum1168
Maximum1855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T04:05:29.483639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1168
5-th percentile1204.85
Q11328.25
median1478.5
Q31650.75
95-th percentile1830.15
Maximum1855
Range687
Interquartile range (IQR)322.5

Descriptive statistics

Standard deviation197.93072
Coefficient of variation (CV)0.13213345
Kurtosis-1.0892399
Mean1497.9607
Median Absolute Deviation (MAD)154
Skewness0.18489049
Sum266637
Variance39176.569
MonotonicityNot monotonic
2023-12-13T04:05:29.634729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1668 1
 
0.6%
1474 1
 
0.6%
1250 1
 
0.6%
1251 1
 
0.6%
1388 1
 
0.6%
1389 1
 
0.6%
1390 1
 
0.6%
1391 1
 
0.6%
1408 1
 
0.6%
1409 1
 
0.6%
Other values (168) 168
94.4%
ValueCountFrequency (%)
1168 1
0.6%
1169 1
0.6%
1170 1
0.6%
1171 1
0.6%
1184 1
0.6%
1185 1
0.6%
1186 1
0.6%
1187 1
0.6%
1204 1
0.6%
1205 1
0.6%
ValueCountFrequency (%)
1855 1
0.6%
1854 1
0.6%
1853 1
0.6%
1852 1
0.6%
1851 1
0.6%
1850 1
0.6%
1849 1
0.6%
1848 1
0.6%
1831 1
0.6%
1830 1
0.6%

포럼인덱스
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1249.9326
Minimum942
Maximum1603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T04:05:29.797832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum942
5-th percentile981
Q11063
median1224
Q31402
95-th percentile1582
Maximum1603
Range661
Interquartile range (IQR)339

Descriptive statistics

Standard deviation196.88987
Coefficient of variation (CV)0.15752039
Kurtosis-1.1501249
Mean1249.9326
Median Absolute Deviation (MAD)162
Skewness0.22908713
Sum222488
Variance38765.623
MonotonicityNot monotonic
2023-12-13T04:05:29.994160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1022 18
 
10.1%
1422 4
 
2.2%
1222 4
 
2.2%
1282 4
 
2.2%
1283 4
 
2.2%
1402 4
 
2.2%
1122 4
 
2.2%
1142 4
 
2.2%
1162 4
 
2.2%
1202 4
 
2.2%
Other values (31) 124
69.7%
ValueCountFrequency (%)
942 4
 
2.2%
961 4
 
2.2%
981 4
 
2.2%
1001 4
 
2.2%
1022 18
10.1%
1041 4
 
2.2%
1062 4
 
2.2%
1063 4
 
2.2%
1064 4
 
2.2%
1081 4
 
2.2%
ValueCountFrequency (%)
1603 4
2.2%
1602 4
2.2%
1582 4
2.2%
1562 4
2.2%
1542 4
2.2%
1522 4
2.2%
1502 4
2.2%
1482 4
2.2%
1462 4
2.2%
1442 4
2.2%

메뉴번호
Real number (ℝ)

HIGH CORRELATION 

Distinct126
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1496.0337
Minimum1168
Maximum1854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T04:05:30.216122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1168
5-th percentile1204.85
Q11324
median1478
Q31650
95-th percentile1830
Maximum1854
Range686
Interquartile range (IQR)326

Descriptive statistics

Standard deviation199.6187
Coefficient of variation (CV)0.13343195
Kurtosis-1.1121849
Mean1496.0337
Median Absolute Deviation (MAD)171.5
Skewness0.17957202
Sum266294
Variance39847.626
MonotonicityNot monotonic
2023-12-13T04:05:30.431257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1325 5
 
2.8%
1324 5
 
2.8%
1250 5
 
2.8%
1770 2
 
1.1%
1590 2
 
1.1%
1478 2
 
1.1%
1630 2
 
1.1%
1474 2
 
1.1%
1710 2
 
1.1%
1830 2
 
1.1%
Other values (116) 149
83.7%
ValueCountFrequency (%)
1168 1
0.6%
1169 1
0.6%
1170 2
1.1%
1184 1
0.6%
1185 1
0.6%
1186 2
1.1%
1204 1
0.6%
1205 1
0.6%
1206 2
1.1%
1224 1
0.6%
ValueCountFrequency (%)
1854 2
1.1%
1853 1
0.6%
1852 1
0.6%
1850 2
1.1%
1849 1
0.6%
1848 1
0.6%
1830 2
1.1%
1829 1
0.6%
1828 1
0.6%
1810 2
1.1%

읽기등급
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
174 
0
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 174
97.8%
0 4
 
2.2%

Length

2023-12-13T04:05:30.618485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:05:30.743091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 174
97.8%
0 4
 
2.2%

쓰기등급
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3
82 
1
53 
2
39 
0
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row2
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 82
46.1%
1 53
29.8%
2 39
21.9%
0 4
 
2.2%

Length

2023-12-13T04:05:30.883891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:05:31.014048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 82
46.1%
1 53
29.8%
2 39
21.9%
0 4
 
2.2%

메뉴명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Notice
41 
Downloads
41 
Board type 1
40 
Board A
40 
GENERAL
 
3
Other values (13)
13 

Length

Max length12
Median length9
Mean length8.5280899
Min length4

Unique

Unique13 ?
Unique (%)7.3%

Sample

1st rowNotice
2nd rowDownloads
3rd rowBoard type 1
4th rowBoard A
5th rowNotice

Common Values

ValueCountFrequency (%)
Notice 41
23.0%
Downloads 41
23.0%
Board type 1 40
22.5%
Board A 40
22.5%
GENERAL 3
 
1.7%
SU 1.2 1
 
0.6%
Module 3 1
 
0.6%
Module 1 1
 
0.6%
SU 1.1 1
 
0.6%
Module 2 1
 
0.6%
Other values (8) 8
 
4.5%

Length

2023-12-13T04:05:31.177242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
board 80
25.8%
notice 41
13.2%
1 41
13.2%
downloads 41
13.2%
type 40
12.9%
a 40
12.9%
su 9
 
2.9%
general 3
 
1.0%
module 3
 
1.0%
2.2 1
 
0.3%
Other values (11) 11
 
3.5%

메뉴소개
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Modify the board title.
79 
Read belowing opener's comments.
41 
This is download section.
41 
<NA>
 
4
GENERAL
 
3
Other values (10)
10 

Length

Max length32
Median length25
Mean length23.876404
Min length4

Unique

Unique10 ?
Unique (%)5.6%

Sample

1st rowRead belowing opener's comments.
2nd rowThis is download section.
3rd rowModify the board title.
4th rowModify the board title.
5th rowRead belowing opener's comments.

Common Values

ValueCountFrequency (%)
Modify the board title. 79
44.4%
Read belowing opener's comments. 41
23.0%
This is download section. 41
23.0%
<NA> 4
 
2.2%
GENERAL 3
 
1.7%
SU 1.1 1
 
0.6%
SU 1.2 1
 
0.6%
SU 1.3 1
 
0.6%
SU 2.1 1
 
0.6%
SU 2.2 1
 
0.6%
Other values (5) 5
 
2.8%

Length

2023-12-13T04:05:31.367314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
modify 79
11.8%
board 79
11.8%
title 79
11.8%
the 79
11.8%
read 41
 
6.1%
belowing 41
 
6.1%
opener's 41
 
6.1%
comments 41
 
6.1%
this 41
 
6.1%
is 41
 
6.1%
Other values (15) 108
16.1%

포럼작성글인덱스
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5786517
Minimum0
Maximum10
Zeros19
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T04:05:31.525987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.2411539
Coefficient of variation (CV)0.70788391
Kurtosis-1.2056225
Mean4.5786517
Median Absolute Deviation (MAD)3
Skewness0.26224357
Sum815
Variance10.505078
MonotonicityNot monotonic
2023-12-13T04:05:31.661949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 26
14.6%
4 21
11.8%
0 19
10.7%
10 17
9.6%
1 17
9.6%
6 16
9.0%
3 15
8.4%
9 15
8.4%
8 12
6.7%
5 10
 
5.6%
ValueCountFrequency (%)
0 19
10.7%
1 17
9.6%
2 26
14.6%
3 15
8.4%
4 21
11.8%
5 10
 
5.6%
6 16
9.0%
7 10
 
5.6%
8 12
6.7%
9 15
8.4%
ValueCountFrequency (%)
10 17
9.6%
9 15
8.4%
8 12
6.7%
7 10
 
5.6%
6 16
9.0%
5 10
 
5.6%
4 21
11.8%
3 15
8.4%
2 26
14.6%
1 17
9.6%

포럼소모임인덱스
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7359551
Minimum0
Maximum10
Zeros20
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T04:05:31.796028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q37
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.0978304
Coefficient of variation (CV)0.6541089
Kurtosis-1.1775003
Mean4.7359551
Median Absolute Deviation (MAD)3
Skewness0.062233369
Sum843
Variance9.596553
MonotonicityNot monotonic
2023-12-13T04:05:31.941523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3 22
12.4%
0 20
11.2%
2 19
10.7%
7 19
10.7%
5 18
10.1%
9 16
9.0%
6 15
8.4%
8 14
7.9%
4 12
6.7%
1 12
6.7%
ValueCountFrequency (%)
0 20
11.2%
1 12
6.7%
2 19
10.7%
3 22
12.4%
4 12
6.7%
5 18
10.1%
6 15
8.4%
7 19
10.7%
8 14
7.9%
9 16
9.0%
ValueCountFrequency (%)
10 11
6.2%
9 16
9.0%
8 14
7.9%
7 19
10.7%
6 15
8.4%
5 18
10.1%
4 12
6.7%
3 22
12.4%
2 19
10.7%
1 12
6.7%

포럼소모임회원인덱스
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6573034
Minimum0
Maximum10
Zeros22
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T04:05:32.100114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q37
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.0919026
Coefficient of variation (CV)0.66388258
Kurtosis-1.1130645
Mean4.6573034
Median Absolute Deviation (MAD)3
Skewness0.030115962
Sum829
Variance9.5598616
MonotonicityNot monotonic
2023-12-13T04:05:32.230835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 27
15.2%
0 22
12.4%
7 19
10.7%
4 18
10.1%
1 17
9.6%
2 16
9.0%
6 14
7.9%
9 14
7.9%
8 12
6.7%
10 11
6.2%
ValueCountFrequency (%)
0 22
12.4%
1 17
9.6%
2 16
9.0%
3 8
 
4.5%
4 18
10.1%
5 27
15.2%
6 14
7.9%
7 19
10.7%
8 12
6.7%
9 14
7.9%
ValueCountFrequency (%)
10 11
6.2%
9 14
7.9%
8 12
6.7%
7 19
10.7%
6 14
7.9%
5 27
15.2%
4 18
10.1%
3 8
 
4.5%
2 16
9.0%
1 17
9.6%

포럼추천글인덱스
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5
Minimum0
Maximum10
Zeros22
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T04:05:32.358878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.2083929
Coefficient of variation (CV)0.64167859
Kurtosis-1.1977069
Mean5
Median Absolute Deviation (MAD)3
Skewness-0.065397811
Sum890
Variance10.293785
MonotonicityNot monotonic
2023-12-13T04:05:32.476238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 22
12.4%
4 20
11.2%
8 18
10.1%
7 18
10.1%
10 16
9.0%
5 15
8.4%
2 15
8.4%
9 15
8.4%
6 15
8.4%
3 13
7.3%
ValueCountFrequency (%)
0 22
12.4%
1 11
6.2%
2 15
8.4%
3 13
7.3%
4 20
11.2%
5 15
8.4%
6 15
8.4%
7 18
10.1%
8 18
10.1%
9 15
8.4%
ValueCountFrequency (%)
10 16
9.0%
9 15
8.4%
8 18
10.1%
7 18
10.1%
6 15
8.4%
5 15
8.4%
4 20
11.2%
3 13
7.3%
2 15
8.4%
1 11
6.2%

포럼발주인덱스
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0561798
Minimum0
Maximum10
Zeros15
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T04:05:32.616128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.3288995
Coefficient of variation (CV)0.65838234
Kurtosis-1.3977134
Mean5.0561798
Median Absolute Deviation (MAD)3
Skewness-0.04408428
Sum900
Variance11.081572
MonotonicityNot monotonic
2023-12-13T04:05:32.747230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 27
15.2%
9 26
14.6%
7 18
10.1%
4 16
9.0%
10 15
8.4%
0 15
8.4%
3 14
7.9%
6 13
7.3%
8 13
7.3%
5 11
6.2%
ValueCountFrequency (%)
0 15
8.4%
1 27
15.2%
2 10
 
5.6%
3 14
7.9%
4 16
9.0%
5 11
6.2%
6 13
7.3%
7 18
10.1%
8 13
7.3%
9 26
14.6%
ValueCountFrequency (%)
10 15
8.4%
9 26
14.6%
8 13
7.3%
7 18
10.1%
6 13
7.3%
5 11
6.2%
4 16
9.0%
3 14
7.9%
2 10
 
5.6%
1 27
15.2%

Interactions

2023-12-13T04:05:28.176803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:22.682482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:23.468916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:24.288485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:25.058942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:25.753282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:26.428050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:27.097357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:28.283295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:22.774181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:23.578638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:24.382477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:25.157159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:25.835396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:26.518399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:27.177381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:28.396507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:22.867433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:23.679262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:24.480577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:25.246992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:25.926429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:26.598207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:27.549767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:28.500520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:22.965805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:23.801321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:24.593719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:25.343696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:26.019586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:26.682805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:27.639110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:28.640788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:23.062601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:23.912869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:24.686857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:25.425570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:26.110790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:26.764767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:27.722531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:28.757666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:23.166367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:24.006295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:24.773314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:25.505311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:26.194864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:26.845971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:27.820397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:28.872919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:23.274420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:24.103739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:24.866726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:25.591260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:26.276021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:26.930897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:27.997256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:28.992595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:23.379125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:24.194030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:24.958960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:25.674748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:26.351197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:27.013973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:05:28.082021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:05:32.900993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호포럼인덱스메뉴번호읽기등급쓰기등급메뉴명메뉴소개포럼작성글인덱스포럼소모임인덱스포럼소모임회원인덱스포럼추천글인덱스포럼발주인덱스
번호1.0000.9971.0000.1650.1050.0000.0000.0000.0000.0000.1780.000
포럼인덱스0.9971.0000.9970.2850.0750.0000.0000.0000.0540.0000.0000.000
메뉴번호1.0000.9971.0000.1680.0000.0000.0000.0000.0000.0000.2310.000
읽기등급0.1650.2850.1681.0001.0000.964NaN0.0000.0000.0000.0340.000
쓰기등급0.1050.0750.0001.0001.0000.9860.8510.0000.0000.0560.0000.000
메뉴명0.0000.0000.0000.9640.9861.0001.0000.0000.0000.1880.0000.105
메뉴소개0.0000.0000.000NaN0.8511.0001.0000.1080.0000.1520.0000.212
포럼작성글인덱스0.0000.0000.0000.0000.0000.0000.1081.0000.0540.0000.2120.301
포럼소모임인덱스0.0000.0540.0000.0000.0000.0000.0000.0541.0000.1870.4190.000
포럼소모임회원인덱스0.0000.0000.0000.0000.0560.1880.1520.0000.1871.0000.0400.000
포럼추천글인덱스0.1780.0000.2310.0340.0000.0000.0000.2120.4190.0401.0000.000
포럼발주인덱스0.0000.0000.0000.0000.0000.1050.2120.3010.0000.0000.0001.000
2023-12-13T04:05:33.083421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읽기등급메뉴소개쓰기등급메뉴명
읽기등급1.0001.0000.9940.811
메뉴소개1.0001.0000.7010.997
쓰기등급0.9940.7011.0000.910
메뉴명0.8110.9970.9101.000
2023-12-13T04:05:33.197134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호포럼인덱스메뉴번호포럼작성글인덱스포럼소모임인덱스포럼소모임회원인덱스포럼추천글인덱스포럼발주인덱스읽기등급쓰기등급메뉴명메뉴소개
번호1.0000.9880.997-0.0200.0010.0410.0680.0330.1240.0620.0000.000
포럼인덱스0.9881.0000.990-0.0130.0080.0460.0710.0400.2160.0510.0000.000
메뉴번호0.9970.9901.000-0.0220.0040.0390.0720.0430.1260.0000.0000.000
포럼작성글인덱스-0.020-0.013-0.0221.000-0.0450.015-0.0670.0500.0000.0000.0580.035
포럼소모임인덱스0.0010.0080.004-0.0451.0000.0410.0550.0860.0000.0000.0000.000
포럼소모임회원인덱스0.0410.0460.0390.0150.0411.0000.0660.0330.0000.0280.0600.074
포럼추천글인덱스0.0680.0710.072-0.0670.0550.0661.000-0.1010.0000.0000.0000.000
포럼발주인덱스0.0330.0400.0430.0500.0860.033-0.1011.0000.0000.0000.0000.000
읽기등급0.1240.2160.1260.0000.0000.0000.0000.0001.0000.9940.8111.000
쓰기등급0.0620.0510.0000.0000.0000.0280.0000.0000.9941.0000.9100.701
메뉴명0.0000.0000.0000.0580.0000.0600.0000.0000.8110.9101.0000.997
메뉴소개0.0000.0000.0000.0350.0000.0740.0000.0001.0000.7010.9971.000

Missing values

2023-12-13T04:05:29.141551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:05:29.326863image/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

번호포럼인덱스메뉴번호읽기등급쓰기등급메뉴명메뉴소개포럼작성글인덱스포럼소모임인덱스포럼소모임회원인덱스포럼추천글인덱스포럼발주인덱스
016681422166813NoticeRead belowing opener's comments.442109
116691422166913DownloadsThis is download section.10105106
216701422167012Board type 1Modify the board title.498510
316711422167011Board AModify the board title.855010
414881242148813NoticeRead belowing opener's comments.53650
514891242148913DownloadsThis is download section.20920
614901242149012Board type 1Modify the board title.01144
714911242149011Board AModify the board title.425104
815081262150813NoticeRead belowing opener's comments.46439
915091262150913DownloadsThis is download section.102607
번호포럼인덱스메뉴번호읽기등급쓰기등급메뉴명메뉴소개포럼작성글인덱스포럼소모임인덱스포럼소모임회원인덱스포럼추천글인덱스포럼발주인덱스
16813331022132511SU 3.3SU 3.368140
1691335102213341122222222286584
17013441101134413NoticeRead belowing opener's comments.62188
17113451101134513DownloadsThis is download section.721062
17213461101134612Board type 1Modify the board title.98780
17313471101134611Board AModify the board title.485104
17414281182142813NoticeRead belowing opener's comments.37574
17514291182142913DownloadsThis is download section.21237
17614301182143012Board type 1Modify the board title.096102
17714311182143011Board AModify the board title.06481