Overview

Dataset statistics

Number of variables20
Number of observations128
Missing cells114
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.5 KiB
Average record size in memory172.0 B

Variable types

Numeric7
Categorical7
Text4
DateTime2

Dataset

Description게임물관리위원회_자료실(양식) 내용수정 신고서, 내용수정기술서, (규정) 등급분류 규정 자료, (교육) 게임물 관련 사업자 법정교육 자료, 게임이용지도서 등
Author게임물관리위원회
URLhttps://www.data.go.kr/data/15120775/fileData.do

Alerts

게시판코드 has constant value ""Constant
레벨 has constant value ""Constant
공지여부 has constant value ""Constant
내용 태그 사용 여부 has constant value ""Constant
삭제여부 has constant value ""Constant
게시물 번호 is highly overall correlated with 게시물그룹 and 3 other fieldsHigh correlation
게시물그룹 is highly overall correlated with 게시물 번호 and 3 other fieldsHigh correlation
조회수 is highly overall correlated with 게시물 번호 and 2 other fieldsHigh correlation
첨부파일다운로드1 is highly overall correlated with 게시물 번호 and 2 other fieldsHigh correlation
첨부파일사이즈2 is highly overall correlated with 첨부파일다운로드2High correlation
첨부파일다운로드2 is highly overall correlated with 첨부파일사이즈2High correlation
첨부파일확장자2 is highly overall correlated with 게시물 번호 and 1 other fieldsHigh correlation
첨부파일확장자2 is highly imbalanced (72.1%)Imbalance
첨부파일명2 has 113 (88.3%) missing valuesMissing
게시물 번호 has unique valuesUnique
게시물그룹 has unique valuesUnique
제목 has unique valuesUnique
내용 has unique valuesUnique
생성일 has unique valuesUnique
변경일 has unique valuesUnique
첨부파일사이즈1 has 4 (3.1%) zerosZeros
첨부파일사이즈2 has 113 (88.3%) zerosZeros
첨부파일다운로드2 has 113 (88.3%) zerosZeros

Reproduction

Analysis started2024-03-14 10:58:28.424820
Analysis finished2024-03-14 10:58:41.216255
Duration12.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

게시물 번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.1875
Minimum1
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T19:58:41.343248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.05
Q160.75
median104.5
Q3136.25
95-th percentile161.65
Maximum168
Range167
Interquartile range (IQR)75.5

Descriptive statistics

Standard deviation47.576834
Coefficient of variation (CV)0.49462595
Kurtosis-0.93881999
Mean96.1875
Median Absolute Deviation (MAD)37.5
Skewness-0.36519312
Sum12312
Variance2263.5551
MonotonicityNot monotonic
2024-03-14T19:58:41.596520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
109 1
 
0.8%
133 1
 
0.8%
105 1
 
0.8%
151 1
 
0.8%
146 1
 
0.8%
145 1
 
0.8%
144 1
 
0.8%
143 1
 
0.8%
140 1
 
0.8%
Other values (118) 118
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
10 1
0.8%
11 1
0.8%
16 1
0.8%
ValueCountFrequency (%)
168 1
0.8%
167 1
0.8%
166 1
0.8%
165 1
0.8%
164 1
0.8%
163 1
0.8%
162 1
0.8%
161 1
0.8%
160 1
0.8%
159 1
0.8%

게시판코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
PlaceBoys
128 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
PlaceBoys 128
100.0%

Length

2024-03-14T19:58:41.968476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:58:42.271414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
placeboys 128
100.0%

게시물그룹
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103835.94
Minimum1000
Maximum176000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T19:58:42.595596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile9100
Q169750
median112500
Q3144250
95-th percentile169650
Maximum176000
Range175000
Interquartile range (IQR)74500

Descriptive statistics

Standard deviation48669.669
Coefficient of variation (CV)0.468717
Kurtosis-0.77190449
Mean103835.94
Median Absolute Deviation (MAD)37000
Skewness-0.45697732
Sum13291000
Variance2.3687367 × 109
MonotonicityNot monotonic
2024-03-14T19:58:43.042214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 1
 
0.8%
117000 1
 
0.8%
141000 1
 
0.8%
113000 1
 
0.8%
159000 1
 
0.8%
154000 1
 
0.8%
153000 1
 
0.8%
152000 1
 
0.8%
151000 1
 
0.8%
148000 1
 
0.8%
Other values (118) 118
92.2%
ValueCountFrequency (%)
1000 1
0.8%
2000 1
0.8%
3000 1
0.8%
4000 1
0.8%
5000 1
0.8%
6000 1
0.8%
7000 1
0.8%
13000 1
0.8%
19000 1
0.8%
22000 1
0.8%
ValueCountFrequency (%)
176000 1
0.8%
175000 1
0.8%
174000 1
0.8%
173000 1
0.8%
172000 1
0.8%
171000 1
0.8%
170000 1
0.8%
169000 1
0.8%
168000 1
0.8%
167000 1
0.8%

레벨
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
128 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 128
100.0%

Length

2024-03-14T19:58:43.460439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:58:43.663314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 128
100.0%

제목
Text

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T19:58:44.269918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length23.492188
Min length10

Characters and Unicode

Total characters3007
Distinct characters198
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)100.0%

Sample

1st row게임산업진흥에 관한 법률(개정 2008.2.29 법률 제8852호)
2nd row게임산업진흥에 관한 법률 시행규칙
3rd row게임산업진흥에 관한 법률 시행령
4th row게임위등급분류규정및심의규정
5th row 게임물 내용수정 규정
ValueCountFrequency (%)
회의록 57
 
10.6%
2023년도 52
 
9.7%
게임물관리위원회 39
 
7.3%
게임물 25
 
4.7%
분과위원회 20
 
3.7%
15
 
2.8%
등급분류 10
 
1.9%
사후관리 7
 
1.3%
교육 6
 
1.1%
운영정보표시장치 5
 
0.9%
Other values (238) 301
56.1%
2024-03-14T19:58:45.472871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
418
 
13.9%
2 190
 
6.3%
122
 
4.1%
0 112
 
3.7%
98
 
3.3%
98
 
3.3%
82
 
2.7%
73
 
2.4%
3 70
 
2.3%
68
 
2.3%
Other values (188) 1676
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1910
63.5%
Decimal Number 516
 
17.2%
Space Separator 418
 
13.9%
Other Punctuation 54
 
1.8%
Open Punctuation 36
 
1.2%
Close Punctuation 36
 
1.2%
Lowercase Letter 28
 
0.9%
Math Symbol 4
 
0.1%
Uppercase Letter 3
 
0.1%
Initial Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
122
 
6.4%
98
 
5.1%
98
 
5.1%
82
 
4.3%
73
 
3.8%
68
 
3.6%
68
 
3.6%
67
 
3.5%
65
 
3.4%
57
 
3.0%
Other values (157) 1112
58.2%
Decimal Number
ValueCountFrequency (%)
2 190
36.8%
0 112
21.7%
3 70
 
13.6%
1 65
 
12.6%
8 16
 
3.1%
9 16
 
3.1%
7 15
 
2.9%
6 12
 
2.3%
4 12
 
2.3%
5 8
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
t 8
28.6%
l 4
14.3%
v 4
14.3%
e 4
14.3%
r 4
14.3%
g 4
14.3%
Other Punctuation
ValueCountFrequency (%)
. 37
68.5%
; 8
 
14.8%
& 8
 
14.8%
, 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
S 1
33.3%
N 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 34
94.4%
[ 2
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 34
94.4%
] 2
 
5.6%
Space Separator
ValueCountFrequency (%)
418
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1910
63.5%
Common 1066
35.5%
Latin 31
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
122
 
6.4%
98
 
5.1%
98
 
5.1%
82
 
4.3%
73
 
3.8%
68
 
3.6%
68
 
3.6%
67
 
3.5%
65
 
3.4%
57
 
3.0%
Other values (157) 1112
58.2%
Common
ValueCountFrequency (%)
418
39.2%
2 190
17.8%
0 112
 
10.5%
3 70
 
6.6%
1 65
 
6.1%
. 37
 
3.5%
( 34
 
3.2%
) 34
 
3.2%
8 16
 
1.5%
9 16
 
1.5%
Other values (12) 74
 
6.9%
Latin
ValueCountFrequency (%)
t 8
25.8%
l 4
12.9%
v 4
12.9%
e 4
12.9%
r 4
12.9%
g 4
12.9%
A 1
 
3.2%
S 1
 
3.2%
N 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1910
63.5%
ASCII 1095
36.4%
Punctuation 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
418
38.2%
2 190
17.4%
0 112
 
10.2%
3 70
 
6.4%
1 65
 
5.9%
. 37
 
3.4%
( 34
 
3.1%
) 34
 
3.1%
8 16
 
1.5%
9 16
 
1.5%
Other values (19) 103
 
9.4%
Hangul
ValueCountFrequency (%)
122
 
6.4%
98
 
5.1%
98
 
5.1%
82
 
4.3%
73
 
3.8%
68
 
3.6%
68
 
3.6%
67
 
3.5%
65
 
3.4%
57
 
3.0%
Other values (157) 1112
58.2%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%

내용
Text

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T19:58:46.443532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length76
Mean length75.46875
Min length74

Characters and Unicode

Total characters9660
Distinct characters38
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)100.0%

Sample

1st rowhttps://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=1
2nd rowhttps://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=2
3rd rowhttps://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=3
4th rowhttps://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=4
5th rowhttps://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=5
ValueCountFrequency (%)
https://www.grac.or.kr/board/placeboys.aspx?searchtype=004&type=view&bno=1 1
 
0.8%
https://www.grac.or.kr/board/placeboys.aspx?searchtype=004&type=view&bno=2 1
 
0.8%
https://www.grac.or.kr/board/placeboys.aspx?searchtype=004&type=view&bno=105 1
 
0.8%
https://www.grac.or.kr/board/placeboys.aspx?searchtype=004&type=view&bno=151 1
 
0.8%
https://www.grac.or.kr/board/placeboys.aspx?searchtype=004&type=view&bno=146 1
 
0.8%
https://www.grac.or.kr/board/placeboys.aspx?searchtype=004&type=view&bno=145 1
 
0.8%
https://www.grac.or.kr/board/placeboys.aspx?searchtype=004&type=view&bno=144 1
 
0.8%
https://www.grac.or.kr/board/placeboys.aspx?searchtype=004&type=view&bno=143 1
 
0.8%
https://www.grac.or.kr/board/placeboys.aspx?searchtype=004&type=view&bno=140 1
 
0.8%
https://www.grac.or.kr/board/placeboys.aspx?searchtype=004&type=view&bno=139 1
 
0.8%
Other values (118) 118
92.2%
2024-03-14T19:58:47.538454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 640
 
6.6%
r 640
 
6.6%
a 640
 
6.6%
p 512
 
5.3%
s 512
 
5.3%
/ 512
 
5.3%
w 512
 
5.3%
. 512
 
5.3%
o 512
 
5.3%
t 512
 
5.3%
Other values (28) 4156
43.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6656
68.9%
Other Punctuation 1536
 
15.9%
Decimal Number 700
 
7.2%
Math Symbol 384
 
4.0%
Uppercase Letter 384
 
4.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 640
9.6%
r 640
9.6%
a 640
9.6%
p 512
 
7.7%
s 512
 
7.7%
w 512
 
7.7%
o 512
 
7.7%
t 512
 
7.7%
y 384
 
5.8%
c 384
 
5.8%
Other values (10) 1408
21.2%
Decimal Number
ValueCountFrequency (%)
0 279
39.9%
4 150
21.4%
1 97
 
13.9%
6 31
 
4.4%
5 29
 
4.1%
3 28
 
4.0%
2 25
 
3.6%
7 23
 
3.3%
9 19
 
2.7%
8 19
 
2.7%
Other Punctuation
ValueCountFrequency (%)
/ 512
33.3%
. 512
33.3%
& 256
16.7%
: 128
 
8.3%
? 128
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
B 256
66.7%
P 128
33.3%
Math Symbol
ValueCountFrequency (%)
= 384
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7040
72.9%
Common 2620
 
27.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 640
 
9.1%
r 640
 
9.1%
a 640
 
9.1%
p 512
 
7.3%
s 512
 
7.3%
w 512
 
7.3%
o 512
 
7.3%
t 512
 
7.3%
y 384
 
5.5%
c 384
 
5.5%
Other values (12) 1792
25.5%
Common
ValueCountFrequency (%)
/ 512
19.5%
. 512
19.5%
= 384
14.7%
0 279
10.6%
& 256
9.8%
4 150
 
5.7%
: 128
 
4.9%
? 128
 
4.9%
1 97
 
3.7%
6 31
 
1.2%
Other values (6) 143
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 640
 
6.6%
r 640
 
6.6%
a 640
 
6.6%
p 512
 
5.3%
s 512
 
5.3%
/ 512
 
5.3%
w 512
 
5.3%
. 512
 
5.3%
o 512
 
5.3%
t 512
 
5.3%
Other values (28) 4156
43.0%

조회수
Real number (ℝ)

HIGH CORRELATION 

Distinct121
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6702.2422
Minimum11
Maximum27442
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T19:58:47.802977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile34.7
Q1150.5
median2943.5
Q313606.75
95-th percentile17932.4
Maximum27442
Range27431
Interquartile range (IQR)13456.25

Descriptive statistics

Standard deviation7396.3646
Coefficient of variation (CV)1.1035657
Kurtosis-0.87456915
Mean6702.2422
Median Absolute Deviation (MAD)2899
Skewness0.65264291
Sum857887
Variance54706210
MonotonicityNot monotonic
2024-03-14T19:58:48.084381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44 3
 
2.3%
49 3
 
2.3%
45 2
 
1.6%
63 2
 
1.6%
169 2
 
1.6%
52 1
 
0.8%
99 1
 
0.8%
79 1
 
0.8%
281 1
 
0.8%
195 1
 
0.8%
Other values (111) 111
86.7%
ValueCountFrequency (%)
11 1
 
0.8%
13 1
 
0.8%
14 1
 
0.8%
20 1
 
0.8%
29 1
 
0.8%
33 1
 
0.8%
34 1
 
0.8%
36 1
 
0.8%
44 3
2.3%
45 2
1.6%
ValueCountFrequency (%)
27442 1
0.8%
24697 1
0.8%
23698 1
0.8%
22797 1
0.8%
21473 1
0.8%
19404 1
0.8%
18386 1
0.8%
17090 1
0.8%
17014 1
0.8%
16804 1
0.8%
Distinct127
Distinct (%)100.0%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-03-14T19:58:49.296367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length46
Mean length26.440945
Min length8

Characters and Unicode

Total characters3358
Distinct characters209
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)100.0%

Sample

1st row게임산업진흥에관한법률(개정2008.2.29 법률 제8852호)(6).hwp
2nd row게임산업진흥에 관한 법률 시행규칙.hwp
3rd row게임산업진흥에 관한 법률 시행령.hwp
4th row게임위등급분류규정및심의규정.hwp
5th row패치규정_70119.hwp
ValueCountFrequency (%)
게임물관리위원회 38
 
9.4%
분과위원회 20
 
5.0%
2023년 20
 
5.0%
회의록.pdf 20
 
5.0%
게임물 15
 
3.7%
9
 
2.2%
회의록.zip 9
 
2.2%
등급분류 8
 
2.0%
사후관리 7
 
1.7%
2023년도 4
 
1.0%
Other values (230) 253
62.8%
2024-03-14T19:58:50.874318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
 
8.2%
2 196
 
5.8%
0 150
 
4.5%
. 144
 
4.3%
p 128
 
3.8%
119
 
3.5%
1 99
 
2.9%
88
 
2.6%
88
 
2.6%
3 78
 
2.3%
Other values (199) 1992
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1701
50.7%
Decimal Number 642
 
19.1%
Lowercase Letter 411
 
12.2%
Space Separator 276
 
8.2%
Other Punctuation 145
 
4.3%
Open Punctuation 58
 
1.7%
Close Punctuation 58
 
1.7%
Connector Punctuation 28
 
0.8%
Uppercase Letter 26
 
0.8%
Dash Punctuation 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
119
 
7.0%
88
 
5.2%
88
 
5.2%
73
 
4.3%
73
 
4.3%
66
 
3.9%
63
 
3.7%
60
 
3.5%
58
 
3.4%
56
 
3.3%
Other values (153) 957
56.3%
Lowercase Letter
ValueCountFrequency (%)
p 128
31.1%
f 75
18.2%
d 74
18.0%
w 35
 
8.5%
h 34
 
8.3%
i 17
 
4.1%
z 17
 
4.1%
e 9
 
2.2%
r 8
 
1.9%
v 3
 
0.7%
Other values (7) 11
 
2.7%
Decimal Number
ValueCountFrequency (%)
2 196
30.5%
0 150
23.4%
1 99
15.4%
3 78
 
12.1%
9 26
 
4.0%
8 24
 
3.7%
7 20
 
3.1%
6 18
 
2.8%
4 17
 
2.6%
5 14
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
D 9
34.6%
V 4
15.4%
I 4
15.4%
O 4
15.4%
M 1
 
3.8%
A 1
 
3.8%
S 1
 
3.8%
N 1
 
3.8%
U 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 144
99.3%
· 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 56
96.6%
[ 2
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 56
96.6%
] 2
 
3.4%
Space Separator
ValueCountFrequency (%)
276
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1701
50.7%
Common 1220
36.3%
Latin 437
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
119
 
7.0%
88
 
5.2%
88
 
5.2%
73
 
4.3%
73
 
4.3%
66
 
3.9%
63
 
3.7%
60
 
3.5%
58
 
3.4%
56
 
3.3%
Other values (153) 957
56.3%
Latin
ValueCountFrequency (%)
p 128
29.3%
f 75
17.2%
d 74
16.9%
w 35
 
8.0%
h 34
 
7.8%
i 17
 
3.9%
z 17
 
3.9%
e 9
 
2.1%
D 9
 
2.1%
r 8
 
1.8%
Other values (16) 31
 
7.1%
Common
ValueCountFrequency (%)
276
22.6%
2 196
16.1%
0 150
12.3%
. 144
11.8%
1 99
 
8.1%
3 78
 
6.4%
( 56
 
4.6%
) 56
 
4.6%
_ 28
 
2.3%
9 26
 
2.1%
Other values (10) 111
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1701
50.7%
ASCII 1656
49.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
276
16.7%
2 196
11.8%
0 150
 
9.1%
. 144
 
8.7%
p 128
 
7.7%
1 99
 
6.0%
3 78
 
4.7%
f 75
 
4.5%
d 74
 
4.5%
( 56
 
3.4%
Other values (35) 380
22.9%
Hangul
ValueCountFrequency (%)
119
 
7.0%
88
 
5.2%
88
 
5.2%
73
 
4.3%
73
 
4.3%
66
 
3.9%
63
 
3.7%
60
 
3.5%
58
 
3.4%
56
 
3.3%
Other values (153) 957
56.3%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct6
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
pdf
74 
hwp
34 
zip
17 
wav
 
1
ppt
 
1

Length

Max length4
Median length3
Mean length3.0078125
Min length3

Unique

Unique3 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
pdf 74
57.8%
hwp 34
26.6%
zip 17
 
13.3%
wav 1
 
0.8%
ppt 1
 
0.8%
<NA> 1
 
0.8%

Length

2024-03-14T19:58:51.296904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:58:51.633858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pdf 74
57.8%
hwp 34
26.6%
zip 17
 
13.3%
wav 1
 
0.8%
ppt 1
 
0.8%
na 1
 
0.8%

첨부파일사이즈1
Real number (ℝ)

ZEROS 

Distinct122
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6077950
Minimum0
Maximum3.3332209 × 108
Zeros4
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T19:58:52.024952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15027.2
Q1180128.25
median289252.5
Q31096051.8
95-th percentile22752561
Maximum3.3332209 × 108
Range3.3332209 × 108
Interquartile range (IQR)915923.5

Descriptive statistics

Standard deviation30434568
Coefficient of variation (CV)5.007374
Kurtosis107.38262
Mean6077950
Median Absolute Deviation (MAD)220132.5
Skewness10.013291
Sum7.779776 × 108
Variance9.2626295 × 1014
MonotonicityNot monotonic
2024-03-14T19:58:52.670067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
3.1%
16896 2
 
1.6%
15360 2
 
1.6%
13824 2
 
1.6%
214348 1
 
0.8%
189997 1
 
0.8%
289760 1
 
0.8%
309955 1
 
0.8%
284381 1
 
0.8%
288745 1
 
0.8%
Other values (112) 112
87.5%
ValueCountFrequency (%)
0 4
3.1%
13824 2
1.6%
14848 1
 
0.8%
15360 2
1.6%
15872 1
 
0.8%
16384 1
 
0.8%
16896 2
1.6%
18432 1
 
0.8%
19456 1
 
0.8%
20292 1
 
0.8%
ValueCountFrequency (%)
333322086 1
0.8%
61239193 1
0.8%
36031594 1
0.8%
35052384 1
0.8%
33127902 1
0.8%
29082864 1
0.8%
24915716 1
0.8%
18735273 1
0.8%
16867136 1
0.8%
15915802 1
0.8%

첨부파일다운로드1
Real number (ℝ)

HIGH CORRELATION 

Distinct113
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean665.14844
Minimum0
Maximum4910
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T19:58:53.141758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.35
Q140.75
median220.5
Q3918.25
95-th percentile2525.3
Maximum4910
Range4910
Interquartile range (IQR)877.5

Descriptive statistics

Standard deviation903.21566
Coefficient of variation (CV)1.3579159
Kurtosis3.8323545
Mean665.14844
Median Absolute Deviation (MAD)204.5
Skewness1.8755573
Sum85139
Variance815798.54
MonotonicityNot monotonic
2024-03-14T19:58:53.630042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 3
 
2.3%
22 3
 
2.3%
41 2
 
1.6%
44 2
 
1.6%
48 2
 
1.6%
110 2
 
1.6%
49 2
 
1.6%
12 2
 
1.6%
64 2
 
1.6%
29 2
 
1.6%
Other values (103) 106
82.8%
ValueCountFrequency (%)
0 1
0.8%
11 1
0.8%
12 2
1.6%
13 1
0.8%
14 1
0.8%
15 1
0.8%
16 2
1.6%
17 1
0.8%
18 2
1.6%
21 1
0.8%
ValueCountFrequency (%)
4910 1
0.8%
3270 1
0.8%
3186 1
0.8%
2806 1
0.8%
2786 1
0.8%
2574 1
0.8%
2554 1
0.8%
2472 1
0.8%
2451 1
0.8%
2450 1
0.8%

첨부파일명2
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing113
Missing (%)88.3%
Memory size1.1 KiB
2024-03-14T19:58:54.604317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length27
Mean length27.4
Min length12

Characters and Unicode

Total characters411
Distinct characters139
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row플래시(싸이월드).zip
2nd row게임물 내용정보 기술서.doc
3rd row내용수정기술서[오픈마켓용].docx
4th row게임산업진흥에 관한 법률 시행령_20110706시행_신구조문대비.hwp
5th rowASN.1_main.c
ValueCountFrequency (%)
게임물 4
 
7.5%
2
 
3.8%
활용도조사 1
 
1.9%
최종본(내지)_게임물관리위원회_아동·청소년의 1
 
1.9%
적정 1
 
1.9%
등급 1
 
1.9%
이용을 1
 
1.9%
위한 1
 
1.9%
기초연구.pdf 1
 
1.9%
2019 1
 
1.9%
Other values (39) 39
73.6%
2024-03-14T19:58:56.064626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
 
9.2%
. 17
 
4.1%
p 12
 
2.9%
( 11
 
2.7%
) 11
 
2.7%
10
 
2.4%
10
 
2.4%
1 9
 
2.2%
9
 
2.2%
9
 
2.2%
Other values (129) 275
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 213
51.8%
Lowercase Letter 60
 
14.6%
Space Separator 38
 
9.2%
Decimal Number 31
 
7.5%
Uppercase Letter 21
 
5.1%
Other Punctuation 18
 
4.4%
Open Punctuation 12
 
2.9%
Close Punctuation 12
 
2.9%
Connector Punctuation 5
 
1.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
4.7%
10
 
4.7%
9
 
4.2%
9
 
4.2%
7
 
3.3%
6
 
2.8%
6
 
2.8%
6
 
2.8%
5
 
2.3%
5
 
2.3%
Other values (83) 140
65.7%
Lowercase Letter
ValueCountFrequency (%)
p 12
20.0%
d 7
11.7%
i 6
10.0%
o 6
10.0%
f 5
8.3%
z 5
8.3%
c 3
 
5.0%
e 2
 
3.3%
b 2
 
3.3%
k 2
 
3.3%
Other values (7) 10
16.7%
Uppercase Letter
ValueCountFrequency (%)
A 4
19.0%
E 3
14.3%
G 2
9.5%
R 2
9.5%
L 2
9.5%
M 2
9.5%
S 1
 
4.8%
K 1
 
4.8%
W 1
 
4.8%
Y 1
 
4.8%
Other values (2) 2
9.5%
Decimal Number
ValueCountFrequency (%)
1 9
29.0%
0 8
25.8%
2 7
22.6%
7 2
 
6.5%
9 2
 
6.5%
8 1
 
3.2%
6 1
 
3.2%
3 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 17
94.4%
· 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 11
91.7%
[ 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 11
91.7%
] 1
 
8.3%
Space Separator
ValueCountFrequency (%)
38
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213
51.8%
Common 117
28.5%
Latin 81
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
4.7%
10
 
4.7%
9
 
4.2%
9
 
4.2%
7
 
3.3%
6
 
2.8%
6
 
2.8%
6
 
2.8%
5
 
2.3%
5
 
2.3%
Other values (83) 140
65.7%
Latin
ValueCountFrequency (%)
p 12
14.8%
d 7
 
8.6%
i 6
 
7.4%
o 6
 
7.4%
f 5
 
6.2%
z 5
 
6.2%
A 4
 
4.9%
E 3
 
3.7%
c 3
 
3.7%
G 2
 
2.5%
Other values (19) 28
34.6%
Common
ValueCountFrequency (%)
38
32.5%
. 17
14.5%
( 11
 
9.4%
) 11
 
9.4%
1 9
 
7.7%
0 8
 
6.8%
2 7
 
6.0%
_ 5
 
4.3%
7 2
 
1.7%
9 2
 
1.7%
Other values (7) 7
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 213
51.8%
ASCII 197
47.9%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38
19.3%
. 17
 
8.6%
p 12
 
6.1%
( 11
 
5.6%
) 11
 
5.6%
1 9
 
4.6%
0 8
 
4.1%
d 7
 
3.6%
2 7
 
3.6%
i 6
 
3.0%
Other values (35) 71
36.0%
Hangul
ValueCountFrequency (%)
10
 
4.7%
10
 
4.7%
9
 
4.2%
9
 
4.2%
7
 
3.3%
6
 
2.8%
6
 
2.8%
6
 
2.8%
5
 
2.3%
5
 
2.3%
Other values (83) 140
65.7%
None
ValueCountFrequency (%)
· 1
100.0%

첨부파일확장자2
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
113 
zip
 
5
pdf
 
5
hwp
 
2
doc
 
1
Other values (2)
 
2

Length

Max length4
Median length4
Mean length3.875
Min length1

Unique

Unique3 ?
Unique (%)2.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 113
88.3%
zip 5
 
3.9%
pdf 5
 
3.9%
hwp 2
 
1.6%
doc 1
 
0.8%
docx 1
 
0.8%
c 1
 
0.8%

Length

2024-03-14T19:58:56.543573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:58:56.902297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 113
88.3%
zip 5
 
3.9%
pdf 5
 
3.9%
hwp 2
 
1.6%
doc 1
 
0.8%
docx 1
 
0.8%
c 1
 
0.8%

첨부파일사이즈2
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1169612
Minimum0
Maximum44283494
Zeros113
Zeros (%)88.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T19:58:57.205772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2740471
Maximum44283494
Range44283494
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6095314.4
Coefficient of variation (CV)5.2113987
Kurtosis38.245585
Mean1169612
Median Absolute Deviation (MAD)0
Skewness6.1355463
Sum1.4971034 × 108
Variance3.7152857 × 1013
MonotonicityNot monotonic
2024-03-14T19:58:57.637597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 113
88.3%
277056 1
 
0.8%
8941726 1
 
0.8%
15872 1
 
0.8%
44283494 1
 
0.8%
41571995 1
 
0.8%
2707737 1
 
0.8%
2758097 1
 
0.8%
30804596 1
 
0.8%
3480751 1
 
0.8%
Other values (6) 6
 
4.7%
ValueCountFrequency (%)
0 113
88.3%
15872 1
 
0.8%
52995 1
 
0.8%
223232 1
 
0.8%
246376 1
 
0.8%
277056 1
 
0.8%
562688 1
 
0.8%
1752665 1
 
0.8%
2707737 1
 
0.8%
2758097 1
 
0.8%
ValueCountFrequency (%)
44283494 1
0.8%
41571995 1
0.8%
30804596 1
0.8%
12031055 1
0.8%
8941726 1
0.8%
3480751 1
0.8%
2758097 1
0.8%
2707737 1
0.8%
1752665 1
0.8%
562688 1
0.8%

첨부파일다운로드2
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.210938
Minimum0
Maximum1697
Zeros113
Zeros (%)88.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T19:58:58.089483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile415.55
Maximum1697
Range1697
Interquartile range (IQR)0

Descriptive statistics

Standard deviation205.83522
Coefficient of variation (CV)3.7281601
Kurtosis35.033867
Mean55.210938
Median Absolute Deviation (MAD)0
Skewness5.3818124
Sum7067
Variance42368.136
MonotonicityNot monotonic
2024-03-14T19:58:58.496237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 113
88.3%
131 1
 
0.8%
807 1
 
0.8%
526 1
 
0.8%
68 1
 
0.8%
425 1
 
0.8%
127 1
 
0.8%
239 1
 
0.8%
582 1
 
0.8%
184 1
 
0.8%
Other values (6) 6
 
4.7%
ValueCountFrequency (%)
0 113
88.3%
68 1
 
0.8%
127 1
 
0.8%
131 1
 
0.8%
184 1
 
0.8%
239 1
 
0.8%
243 1
 
0.8%
290 1
 
0.8%
398 1
 
0.8%
425 1
 
0.8%
ValueCountFrequency (%)
1697 1
0.8%
901 1
0.8%
807 1
0.8%
582 1
0.8%
526 1
0.8%
449 1
0.8%
425 1
0.8%
398 1
0.8%
290 1
0.8%
243 1
0.8%

공지여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
128 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 128
100.0%

Length

2024-03-14T19:58:58.975156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:58:59.445346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 128
100.0%

내용 태그 사용 여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
128 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 128
100.0%

Length

2024-03-14T19:58:59.784752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:59:00.209723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 128
100.0%

생성일
Date

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2007-07-06 17:45:29
Maximum2024-02-20 09:21:24
2024-03-14T19:59:00.683333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:59:01.298721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

변경일
Date

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2007-07-06 17:47:39
Maximum2024-02-20 09:21:24
2024-03-14T19:59:02.013289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:59:02.488421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

삭제여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
128 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 128
100.0%

Length

2024-03-14T19:59:02.925132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:59:03.228057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 128
100.0%

Interactions

2024-03-14T19:58:38.615819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:29.435643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:30.739741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:31.927210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:33.312145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:35.099861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:36.844877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:38.974988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:29.702713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:30.904286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:32.080461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:33.577832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:35.354087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:37.096606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:39.140805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:29.981413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:31.138846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:32.293271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:33.838500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:35.612701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:37.350029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:39.290300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:30.127281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:31.301452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:32.461488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:34.087435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:35.864402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:37.590824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:39.519294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:30.288154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:31.461720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:32.614867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:34.341027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:36.118834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:37.852894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:39.771000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:30.434429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:31.615287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:32.817704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:34.592230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:36.355255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:38.113286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:40.018912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:30.580140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:31.762012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:33.057930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:34.836906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:36.591115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:58:38.352094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:59:03.418581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시물 번호게시물그룹조회수첨부파일확장자1첨부파일사이즈1첨부파일다운로드1첨부파일명2첨부파일확장자2첨부파일사이즈2첨부파일다운로드2
게시물 번호1.0000.9840.7610.7820.2370.5971.0000.7830.0000.290
게시물그룹0.9841.0000.7580.7830.0000.6281.0000.9520.2120.279
조회수0.7610.7581.0000.4760.7700.7771.0000.7180.4590.564
첨부파일확장자10.7820.7830.4761.0000.0550.4681.0000.4100.0000.336
첨부파일사이즈10.2370.0000.7700.0551.0000.0491.0000.0000.5540.775
첨부파일다운로드10.5970.6280.7770.4680.0491.0001.0000.5130.0000.279
첨부파일명21.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
첨부파일확장자20.7830.9520.7180.4100.0000.5131.0001.0000.0000.589
첨부파일사이즈20.0000.2120.4590.0000.5540.0001.0000.0001.0000.750
첨부파일다운로드20.2900.2790.5640.3360.7750.2791.0000.5890.7501.000
2024-03-14T19:59:03.728156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
첨부파일확장자1첨부파일확장자2
첨부파일확장자11.0000.167
첨부파일확장자20.1671.000
2024-03-14T19:59:03.981615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시물 번호게시물그룹조회수첨부파일사이즈1첨부파일다운로드1첨부파일사이즈2첨부파일다운로드2첨부파일확장자1첨부파일확장자2
게시물 번호1.0000.999-0.9060.135-0.818-0.161-0.1690.4280.616
게시물그룹0.9991.000-0.9050.138-0.816-0.159-0.1660.4320.663
조회수-0.906-0.9051.000-0.0810.9190.2020.2190.2930.469
첨부파일사이즈10.1350.138-0.0811.000-0.0370.0900.0810.0380.000
첨부파일다운로드1-0.818-0.8160.919-0.0371.0000.1450.1570.3060.318
첨부파일사이즈2-0.161-0.1590.2020.0900.1451.0000.9930.0000.000
첨부파일다운로드2-0.169-0.1660.2190.0810.1570.9931.0000.2200.325
첨부파일확장자10.4280.4320.2930.0380.3060.0000.2201.0000.167
첨부파일확장자20.6160.6630.4690.0000.3180.0000.3250.1671.000

Missing values

2024-03-14T19:58:40.324566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:58:40.844431image/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.
2024-03-14T19:58:41.100386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

게시물 번호게시판코드게시물그룹레벨제목내용조회수첨부파일명1첨부파일확장자1첨부파일사이즈1첨부파일다운로드1첨부파일명2첨부파일확장자2첨부파일사이즈2첨부파일다운로드2공지여부내용 태그 사용 여부생성일변경일삭제여부
01PlaceBoys10000게임산업진흥에 관한 법률(개정 2008.2.29 법률 제8852호)https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=115149게임산업진흥에관한법률(개정2008.2.29 법률 제8852호)(6).hwphwp43008663<NA><NA>00002007-07-06 17:45:292009-08-08 17:27:010
12PlaceBoys20000게임산업진흥에 관한 법률 시행규칙https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=213707게임산업진흥에 관한 법률 시행규칙.hwphwp330752811<NA><NA>00002007-07-06 17:47:392007-07-06 17:47:390
23PlaceBoys30000게임산업진흥에 관한 법률 시행령https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=314162게임산업진흥에 관한 법률 시행령.hwphwp63488784<NA><NA>00002007-07-06 17:48:032007-07-06 17:48:030
34PlaceBoys40000게임위등급분류규정및심의규정https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=414345게임위등급분류규정및심의규정.hwphwp3322882183<NA><NA>00002007-07-06 17:50:432007-07-06 17:50:430
45PlaceBoys50000게임물 내용수정 규정https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=513615패치규정_70119.hwphwp163841288<NA><NA>00002007-07-06 17:56:012007-07-06 17:56:010
56PlaceBoys60000등급분류 세부 심의 기준 개정(안)https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=614719세부심의기준개정(안)_70413.hwphwp202922019<NA><NA>00002007-07-06 17:56:532007-07-06 17:56:530
67PlaceBoys70000게임물 이용등급 및 내용정보표시 규정(개정)https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=721473게임물내용정보표시(안).zipzip41983654910<NA><NA>00002007-07-06 17:58:102010-04-07 11:09:300
749PlaceBoys600000오픈마켓 게임콘텐츠 심의방안 마련을 위한 세미나 자료집https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=4912692오픈마켓 게임콘텐츠 심의방안세미나-편집(0429).pdfpdf5519396419<NA><NA>00002009-04-29 10:30:122009-04-29 18:20:200
850PlaceBoys610000게임제공업소용 게임물 운영정보표시장치 표준통신 규격 제작매뉴얼(ver1.0)https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=5013183게임제공업소용게임물운영정보표시장치표준통신규격제작매뉴얼(OIDD-2008)_2008-12-29_Ver1.0.pdfpdf3454888931<NA><NA>00002009-05-07 11:21:282009-07-27 09:12:230
910PlaceBoys330000정보공개청구서(2008.02.21)https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=1013682정보공개청구서.hwphwp15360717<NA><NA>00002008-02-21 11:33:232013-02-25 13:11:560
게시물 번호게시판코드게시물그룹레벨제목내용조회수첨부파일명1첨부파일확장자1첨부파일사이즈1첨부파일다운로드1첨부파일명2첨부파일확장자2첨부파일사이즈2첨부파일다운로드2공지여부내용 태그 사용 여부생성일변경일삭제여부
118164PlaceBoys17200002023년도 39차 게임물관리위원회 회의록https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=16414제39차 게임물관리위원회 회의록(20231102).pdfpdf35370312<NA><NA>00002024-02-20 09:20:062024-02-20 09:20:060
119168PlaceBoys17600002023년도 43차 게임물관리위원회 회의록https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=16833제43차 게임물관리위원회 회의록(20231130).pdfpdf27375322<NA><NA>00002024-02-20 09:21:242024-02-20 09:21:240
120147PlaceBoys15500002023년도 29차 게임물관리위원회 회의록https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=14749제29차 게임물관리위원회 회의록(20230810).pdfpdf25172618<NA><NA>00002023-11-27 15:53:232023-11-27 15:53:230
121148PlaceBoys15600002023년도 30차 게임물관리위원회 회의록https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=14845제30차 게임물관리위원회 회의록(20230817).pdfpdf23649916<NA><NA>00002023-11-27 15:53:392023-11-27 15:53:390
122149PlaceBoys15700002023년도 31차 게임물관리위원회 회의록https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=14963제31차 게임물관리위원회 회의록(20230824).pdfpdf30429830<NA><NA>00002023-11-27 15:57:142023-11-27 15:57:140
123150PlaceBoys15800002023년도 32차 게임물관리위원회 회의록https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=15088제32차 게임물관리위원회 회의록(20230831).pdfpdf30302151<NA><NA>00002023-11-27 15:57:302023-11-27 15:57:300
124158PlaceBoys16600002023년도 38차 게임물관리위원회 회의록https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=158115제38차 게임물관리위원회 회의록(20231019).pdfpdf32139994<NA><NA>00002024-01-03 15:59:572024-01-03 15:59:570
125161PlaceBoys16900002023년도 제18차 분과위원회 회의록https://www.grac.or.kr/Board/PlaceBoys.aspx?searchtype=004&type=view&bno=161812023년 제18차 분과위원회 회의록.pdfpdf34610664<NA><NA>00002024-01-15 09:02:142024-01-15 09:02:140
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