Overview

Dataset statistics

Number of variables24
Number of observations233
Missing cells345
Missing cells (%)6.2%
Duplicate rows3
Duplicate rows (%)1.3%
Total size in memory46.1 KiB
Average record size in memory202.6 B

Variable types

Numeric7
Categorical10
Text4
Unsupported1
DateTime2

Dataset

Description게임물관리위원회_게임물등급분류통지(게임물 등급분류) 등급분류결정결과 게임물 개수 공표, (게임물 등급분류 거부) 등급분류거부결과 게임물 개수 공표, (민간기관 등급분류 결정) 민간기관 등급분류 결정 게임물 개수 공표, (직권재분류) 직권재분류 게임물 개수 공표, (등급조정) 등급조정 게임물 개수 공표, (등급분류취소) 등급취소 게임물 개수 공표, (첨부자료) 등급결정 목록, 등급분류 취소관련 보고, 직권재분류 & 등급조정 & 등급취소 목록
Author게임물관리위원회
URLhttps://www.data.go.kr/data/15120752/fileData.do

Alerts

게시판코드 has constant value ""Constant
게시물답변구분 has constant value ""Constant
공지여부 has constant value ""Constant
내용 태그 사용 여부 has constant value ""Constant
유형 has constant value ""Constant
상태 has constant value ""Constant
링크주소 has constant value ""Constant
통지일시 has constant value ""Constant
Dataset has 3 (1.3%) duplicate rowsDuplicates
첨부파일확장자1 is highly imbalanced (67.8%)Imbalance
첨부파일확장자2 is highly imbalanced (52.5%)Imbalance
첨부파일명2 has 111 (47.6%) missing valuesMissing
삭제여부 has 233 (100.0%) missing valuesMissing
삭제여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
첨부파일사이즈1 has 27 (11.6%) zerosZeros
첨부파일사이즈2 has 132 (56.7%) zerosZeros
첨부파일다운로드2 has 111 (47.6%) zerosZeros

Reproduction

Analysis started2023-12-12 11:47:58.055611
Analysis finished2023-12-12 11:47:58.499324
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

게시물 번호
Real number (ℝ)

Distinct230
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.19313
Minimum7
Maximum244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T20:47:58.570967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile18.6
Q171
median131
Q3189
95-th percentile235.4
Maximum244
Range237
Interquartile range (IQR)118

Descriptive statistics

Standard deviation69.521403
Coefficient of variation (CV)0.53811996
Kurtosis-1.1861906
Mean129.19313
Median Absolute Deviation (MAD)59
Skewness-0.056835312
Sum30102
Variance4833.2255
MonotonicityNot monotonic
2023-12-12T20:47:58.714495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
244 2
 
0.9%
242 2
 
0.9%
240 2
 
0.9%
7 1
 
0.4%
227 1
 
0.4%
87 1
 
0.4%
121 1
 
0.4%
238 1
 
0.4%
233 1
 
0.4%
231 1
 
0.4%
Other values (220) 220
94.4%
ValueCountFrequency (%)
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
11 1
0.4%
12 1
0.4%
13 1
0.4%
14 1
0.4%
15 1
0.4%
16 1
0.4%
ValueCountFrequency (%)
244 2
0.9%
243 1
0.4%
242 2
0.9%
241 1
0.4%
240 2
0.9%
239 1
0.4%
238 1
0.4%
237 1
0.4%
236 1
0.4%
235 1
0.4%

게시판코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Explanation
233 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Explanation 233
100.0%

Length

2023-12-12T20:47:59.088272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:47:59.185572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
explanation 233
100.0%

게시물그룹
Real number (ℝ)

Distinct230
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119686.7
Minimum1000
Maximum234000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T20:47:59.313160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile12600
Q161000
median121000
Q3179000
95-th percentile225400
Maximum234000
Range233000
Interquartile range (IQR)118000

Descriptive statistics

Standard deviation68769.108
Coefficient of variation (CV)0.57457604
Kurtosis-1.210971
Mean119686.7
Median Absolute Deviation (MAD)59000
Skewness-0.029336095
Sum27887000
Variance4.7291902 × 109
MonotonicityNot monotonic
2023-12-12T20:47:59.458957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
234000 2
 
0.9%
232000 2
 
0.9%
230000 2
 
0.9%
1000 1
 
0.4%
217000 1
 
0.4%
77000 1
 
0.4%
111000 1
 
0.4%
228000 1
 
0.4%
223000 1
 
0.4%
221000 1
 
0.4%
Other values (220) 220
94.4%
ValueCountFrequency (%)
1000 1
0.4%
2000 1
0.4%
3000 1
0.4%
4000 1
0.4%
5000 1
0.4%
6000 1
0.4%
7000 1
0.4%
8000 1
0.4%
9000 1
0.4%
10000 1
0.4%
ValueCountFrequency (%)
234000 2
0.9%
233000 1
0.4%
232000 2
0.9%
231000 1
0.4%
230000 2
0.9%
229000 1
0.4%
228000 1
0.4%
227000 1
0.4%
226000 1
0.4%
225000 1
0.4%

게시물답변구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
233 

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 (%)
0 233
100.0%

Length

2023-12-12T20:47:59.671708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:47:59.837046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 233
100.0%

제목
Text

Distinct230
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T20:48:00.075948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length27.206009
Min length24

Characters and Unicode

Total characters6339
Distinct characters40
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique227 ?
Unique (%)97.4%

Sample

1st row게임물 등급분류 통지 (2007.10.19.일자)
2nd row게임물 등급분류 통지 (2008.01.25.일자)
3rd row게임물 등급분류 통지 (2008.02.29.일자)
4th row게임물 등급분류 통지 (2008.04.02.일자)
5th row게임물 등급분류 통지 (2008.08.11.일자)
ValueCountFrequency (%)
게임물 228
24.8%
등급분류 215
23.4%
결정 60
 
6.5%
통지 54
 
5.9%
취소 26
 
2.8%
공표(2013 18
 
2.0%
직권등급재분류 14
 
1.5%
및 13
 
1.4%
등급취소 12
 
1.3%
등급조정 8
 
0.9%
Other values (239) 272
29.6%
2023-12-12T20:48:00.644945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
699
 
11.0%
. 672
 
10.6%
2 460
 
7.3%
0 382
 
6.0%
1 353
 
5.6%
등 259
 
4.1%
급 258
 
4.1%
분 238
 
3.8%
류 238
 
3.8%
( 234
 
3.7%
Other values (30) 2546
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2829
44.6%
Decimal Number 1663
26.2%
Space Separator 699
 
11.0%
Other Punctuation 680
 
10.7%
Open Punctuation 234
 
3.7%
Close Punctuation 234
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 259
9.2%
급 258
9.1%
분 238
8.4%
류 238
8.4%
임 233
 
8.2%
게 233
 
8.2%
물 233
 
8.2%
정 187
 
6.6%
결 179
 
6.3%
공 179
 
6.3%
Other values (15) 592
20.9%
Decimal Number
ValueCountFrequency (%)
2 460
27.7%
0 382
23.0%
1 353
21.2%
3 99
 
6.0%
9 81
 
4.9%
8 71
 
4.3%
4 58
 
3.5%
7 57
 
3.4%
6 54
 
3.2%
5 48
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 672
98.8%
, 8
 
1.2%
Space Separator
ValueCountFrequency (%)
699
100.0%
Open Punctuation
ValueCountFrequency (%)
( 234
100.0%
Close Punctuation
ValueCountFrequency (%)
) 234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3510
55.4%
Hangul 2829
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 259
9.2%
급 258
9.1%
분 238
8.4%
류 238
8.4%
임 233
 
8.2%
게 233
 
8.2%
물 233
 
8.2%
정 187
 
6.6%
결 179
 
6.3%
공 179
 
6.3%
Other values (15) 592
20.9%
Common
ValueCountFrequency (%)
699
19.9%
. 672
19.1%
2 460
13.1%
0 382
10.9%
1 353
10.1%
( 234
 
6.7%
) 234
 
6.7%
3 99
 
2.8%
9 81
 
2.3%
8 71
 
2.0%
Other values (5) 225
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3510
55.4%
Hangul 2829
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
699
19.9%
. 672
19.1%
2 460
13.1%
0 382
10.9%
1 353
10.1%
( 234
 
6.7%
) 234
 
6.7%
3 99
 
2.8%
9 81
 
2.3%
8 71
 
2.0%
Other values (5) 225
 
6.4%
Hangul
ValueCountFrequency (%)
등 259
9.2%
급 258
9.1%
분 238
8.4%
류 238
8.4%
임 233
 
8.2%
게 233
 
8.2%
물 233
 
8.2%
정 187
 
6.6%
결 179
 
6.3%
공 179
 
6.3%
Other values (15) 592
20.9%

내용
Text

Distinct230
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T20:48:01.023925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length78
Mean length77.618026
Min length76

Characters and Unicode

Total characters18085
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

Unique227 ?
Unique (%)97.4%

Sample

1st rowhttps://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=7
2nd rowhttps://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=10
3rd rowhttps://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=11
4th rowhttps://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=12
5th rowhttps://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=16
ValueCountFrequency (%)
https://www.grac.or.kr/board/explanation.aspx?searchtype=004&type=view&bno=244 2
 
0.9%
https://www.grac.or.kr/board/explanation.aspx?searchtype=004&type=view&bno=242 2
 
0.9%
https://www.grac.or.kr/board/explanation.aspx?searchtype=004&type=view&bno=240 2
 
0.9%
https://www.grac.or.kr/board/explanation.aspx?searchtype=004&type=view&bno=230 1
 
0.4%
https://www.grac.or.kr/board/explanation.aspx?searchtype=004&type=view&bno=123 1
 
0.4%
https://www.grac.or.kr/board/explanation.aspx?searchtype=004&type=view&bno=211 1
 
0.4%
https://www.grac.or.kr/board/explanation.aspx?searchtype=004&type=view&bno=120 1
 
0.4%
https://www.grac.or.kr/board/explanation.aspx?searchtype=004&type=view&bno=121 1
 
0.4%
https://www.grac.or.kr/board/explanation.aspx?searchtype=004&type=view&bno=130 1
 
0.4%
https://www.grac.or.kr/board/explanation.aspx?searchtype=004&type=view&bno=216 1
 
0.4%
Other values (220) 220
94.4%
2023-12-12T20:48:01.638213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1398
 
7.7%
t 1165
 
6.4%
p 1165
 
6.4%
r 1165
 
6.4%
e 932
 
5.2%
o 932
 
5.2%
/ 932
 
5.2%
w 932
 
5.2%
. 932
 
5.2%
= 699
 
3.9%
Other values (28) 7833
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12815
70.9%
Other Punctuation 2796
 
15.5%
Decimal Number 1309
 
7.2%
Math Symbol 699
 
3.9%
Uppercase Letter 466
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1398
10.9%
t 1165
 
9.1%
p 1165
 
9.1%
r 1165
 
9.1%
e 932
 
7.3%
o 932
 
7.3%
w 932
 
7.3%
n 699
 
5.5%
s 699
 
5.5%
x 466
 
3.6%
Other values (10) 3262
25.5%
Decimal Number
ValueCountFrequency (%)
0 510
39.0%
4 285
21.8%
1 152
 
11.6%
2 99
 
7.6%
3 54
 
4.1%
7 43
 
3.3%
8 43
 
3.3%
5 42
 
3.2%
9 41
 
3.1%
6 40
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 932
33.3%
. 932
33.3%
& 466
16.7%
: 233
 
8.3%
? 233
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
E 233
50.0%
B 233
50.0%
Math Symbol
ValueCountFrequency (%)
= 699
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13281
73.4%
Common 4804
 
26.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1398
 
10.5%
t 1165
 
8.8%
p 1165
 
8.8%
r 1165
 
8.8%
e 932
 
7.0%
o 932
 
7.0%
w 932
 
7.0%
n 699
 
5.3%
s 699
 
5.3%
x 466
 
3.5%
Other values (12) 3728
28.1%
Common
ValueCountFrequency (%)
/ 932
19.4%
. 932
19.4%
= 699
14.6%
0 510
10.6%
& 466
9.7%
4 285
 
5.9%
: 233
 
4.9%
? 233
 
4.9%
1 152
 
3.2%
2 99
 
2.1%
Other values (6) 263
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18085
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1398
 
7.7%
t 1165
 
6.4%
p 1165
 
6.4%
r 1165
 
6.4%
e 932
 
5.2%
o 932
 
5.2%
/ 932
 
5.2%
w 932
 
5.2%
. 932
 
5.2%
= 699
 
3.9%
Other values (28) 7833
43.3%

조회수
Real number (ℝ)

Distinct228
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8951.1888
Minimum48
Maximum18772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T20:48:01.822798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile615.8
Q11603
median11904
Q315060
95-th percentile16806
Maximum18772
Range18724
Interquartile range (IQR)13457

Descriptive statistics

Standard deviation6478.6214
Coefficient of variation (CV)0.72377218
Kurtosis-1.7317308
Mean8951.1888
Median Absolute Deviation (MAD)4543
Skewness-0.16524924
Sum2085627
Variance41972536
MonotonicityNot monotonic
2023-12-12T20:48:01.985506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48 2
 
0.9%
475 2
 
0.9%
1549 2
 
0.9%
683 2
 
0.9%
15010 2
 
0.9%
13974 1
 
0.4%
8903 1
 
0.4%
13006 1
 
0.4%
393 1
 
0.4%
723 1
 
0.4%
Other values (218) 218
93.6%
ValueCountFrequency (%)
48 2
0.9%
166 1
0.4%
310 1
0.4%
393 1
0.4%
469 1
0.4%
475 2
0.9%
551 1
0.4%
568 1
0.4%
602 1
0.4%
605 1
0.4%
ValueCountFrequency (%)
18772 1
0.4%
18559 1
0.4%
18049 1
0.4%
18009 1
0.4%
17529 1
0.4%
17490 1
0.4%
17405 1
0.4%
17231 1
0.4%
17093 1
0.4%
17016 1
0.4%

첨부파일명1
Text

Distinct229
Distinct (%)98.7%
Missing1
Missing (%)0.4%
Memory size1.9 KiB
2023-12-12T20:48:02.240378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length55
Mean length32.237069
Min length10

Characters and Unicode

Total characters7479
Distinct characters108
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)97.4%

Sample

1st row071019게임물등급분류통지의건(2).zip
2nd row20080129.zip
3rd row등급분류통지_20080304.zip
4th row등급분류통지_20080404.zip
5th row게임물 등급분류 통지 (2008[1].08.11일자).zip
ValueCountFrequency (%)
게임물 200
18.5%
등 110
 
10.2%
등급분류 100
 
9.3%
등급분류결정 88
 
8.1%
결정 76
 
7.0%
통지 27
 
2.5%
취소 26
 
2.4%
목록.hwp 18
 
1.7%
및 13
 
1.2%
등급취소 12
 
1.1%
Other values (292) 410
38.0%
2023-12-12T20:48:02.706321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
849
 
11.4%
. 439
 
5.9%
2 431
 
5.8%
등 366
 
4.9%
0 361
 
4.8%
1 284
 
3.8%
게 258
 
3.4%
임 247
 
3.3%
물 247
 
3.3%
급 247
 
3.3%
Other values (98) 3750
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3442
46.0%
Decimal Number 1458
19.5%
Space Separator 849
 
11.4%
Lowercase Letter 705
 
9.4%
Other Punctuation 439
 
5.9%
Close Punctuation 236
 
3.2%
Open Punctuation 236
 
3.2%
Connector Punctuation 64
 
0.9%
Dash Punctuation 47
 
0.6%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 366
 
10.6%
게 258
 
7.5%
임 247
 
7.2%
물 247
 
7.2%
급 247
 
7.2%
분 237
 
6.9%
류 224
 
6.5%
정 195
 
5.7%
결 183
 
5.3%
지 148
 
4.3%
Other values (59) 1090
31.7%
Lowercase Letter
ValueCountFrequency (%)
p 228
32.3%
z 189
26.8%
i 188
26.7%
h 37
 
5.2%
w 37
 
5.2%
f 4
 
0.6%
d 4
 
0.6%
s 3
 
0.4%
r 2
 
0.3%
a 2
 
0.3%
Other values (8) 11
 
1.6%
Decimal Number
ValueCountFrequency (%)
2 431
29.6%
0 361
24.8%
1 284
19.5%
3 103
 
7.1%
8 61
 
4.2%
9 58
 
4.0%
4 46
 
3.2%
7 40
 
2.7%
6 39
 
2.7%
5 35
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 230
97.5%
] 6
 
2.5%
Open Punctuation
ValueCountFrequency (%)
( 230
97.5%
[ 6
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
849
100.0%
Other Punctuation
ValueCountFrequency (%)
. 439
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3442
46.0%
Common 3330
44.5%
Latin 707
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 366
 
10.6%
게 258
 
7.5%
임 247
 
7.2%
물 247
 
7.2%
급 247
 
7.2%
분 237
 
6.9%
류 224
 
6.5%
정 195
 
5.7%
결 183
 
5.3%
지 148
 
4.3%
Other values (59) 1090
31.7%
Latin
ValueCountFrequency (%)
p 228
32.2%
z 189
26.7%
i 188
26.6%
h 37
 
5.2%
w 37
 
5.2%
f 4
 
0.6%
d 4
 
0.6%
s 3
 
0.4%
r 2
 
0.3%
a 2
 
0.3%
Other values (10) 13
 
1.8%
Common
ValueCountFrequency (%)
849
25.5%
. 439
13.2%
2 431
12.9%
0 361
10.8%
1 284
 
8.5%
) 230
 
6.9%
( 230
 
6.9%
3 103
 
3.1%
_ 64
 
1.9%
8 61
 
1.8%
Other values (9) 278
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4037
54.0%
Hangul 3442
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
849
21.0%
. 439
10.9%
2 431
10.7%
0 361
8.9%
1 284
 
7.0%
) 230
 
5.7%
( 230
 
5.7%
p 228
 
5.6%
z 189
 
4.7%
i 188
 
4.7%
Other values (29) 608
15.1%
Hangul
ValueCountFrequency (%)
등 366
 
10.6%
게 258
 
7.5%
임 247
 
7.2%
물 247
 
7.2%
급 247
 
7.2%
분 237
 
6.9%
류 224
 
6.5%
정 195
 
5.7%
결 183
 
5.3%
지 148
 
4.3%
Other values (59) 1090
31.7%

첨부파일확장자1
Categorical

IMBALANCE 

Distinct8
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
zip
187 
hwp
36 
pdf
 
4
csv
 
2
xls
 
1
Other values (3)
 
3

Length

Max length4
Median length3
Mean length3.0042918
Min length2

Unique

Unique4 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
zip 187
80.3%
hwp 36
 
15.5%
pdf 4
 
1.7%
csv 2
 
0.9%
xls 1
 
0.4%
<NA> 1
 
0.4%
7z 1
 
0.4%
hwpx 1
 
0.4%

Length

2023-12-12T20:48:02.907432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:48:03.092506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
zip 187
80.3%
hwp 36
 
15.5%
pdf 4
 
1.7%
csv 2
 
0.9%
xls 1
 
0.4%
na 1
 
0.4%
7z 1
 
0.4%
hwpx 1
 
0.4%

첨부파일사이즈1
Real number (ℝ)

ZEROS 

Distinct200
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87439.579
Minimum0
Maximum592217
Zeros27
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T20:48:03.253683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q139818
median72125
Q399124
95-th percentile237578.8
Maximum592217
Range592217
Interquartile range (IQR)59306

Descriptive statistics

Standard deviation82495.274
Coefficient of variation (CV)0.94345461
Kurtosis12.378752
Mean87439.579
Median Absolute Deviation (MAD)31602
Skewness2.8195054
Sum20373422
Variance6.8054703 × 109
MonotonicityNot monotonic
2023-12-12T20:48:03.433587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
11.6%
68096 3
 
1.3%
67072 2
 
0.9%
175436 2
 
0.9%
53760 2
 
0.9%
592217 2
 
0.9%
64000 2
 
0.9%
68966 1
 
0.4%
234567 1
 
0.4%
82332 1
 
0.4%
Other values (190) 190
81.5%
ValueCountFrequency (%)
0 27
11.6%
15360 1
 
0.4%
18432 1
 
0.4%
18944 1
 
0.4%
20480 1
 
0.4%
20992 1
 
0.4%
22528 1
 
0.4%
23352 1
 
0.4%
27135 1
 
0.4%
28050 1
 
0.4%
ValueCountFrequency (%)
592217 2
0.9%
401894 1
0.4%
355925 1
0.4%
332021 1
0.4%
320054 1
0.4%
286082 1
0.4%
272704 1
0.4%
251617 1
0.4%
248062 1
0.4%
245157 1
0.4%

첨부파일다운로드1
Real number (ℝ)

Distinct171
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210.43777
Minimum0
Maximum910
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T20:48:03.591638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44.6
Q1138
median191
Q3250
95-th percentile417.4
Maximum910
Range910
Interquartile range (IQR)112

Descriptive statistics

Standard deviation134.29955
Coefficient of variation (CV)0.63819126
Kurtosis8.583759
Mean210.43777
Median Absolute Deviation (MAD)57
Skewness2.2885774
Sum49032
Variance18036.368
MonotonicityNot monotonic
2023-12-12T20:48:03.735603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
173 5
 
2.1%
212 4
 
1.7%
164 3
 
1.3%
190 3
 
1.3%
210 3
 
1.3%
154 3
 
1.3%
223 3
 
1.3%
235 3
 
1.3%
219 3
 
1.3%
200 2
 
0.9%
Other values (161) 201
86.3%
ValueCountFrequency (%)
0 1
0.4%
7 1
0.4%
25 2
0.9%
30 1
0.4%
31 1
0.4%
35 1
0.4%
39 1
0.4%
41 2
0.9%
43 1
0.4%
44 1
0.4%
ValueCountFrequency (%)
910 1
0.4%
892 1
0.4%
841 1
0.4%
753 1
0.4%
678 1
0.4%
642 1
0.4%
593 1
0.4%
465 1
0.4%
450 1
0.4%
440 1
0.4%

첨부파일명2
Text

MISSING 

Distinct121
Distinct (%)99.2%
Missing111
Missing (%)47.6%
Memory size1.9 KiB
2023-12-12T20:48:03.945131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length51
Mean length18.07377
Min length10

Characters and Unicode

Total characters2205
Distinct characters78
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)98.4%

Sample

1st row071115게임물등급거부목록(1).xls
2nd row(GRAC_Goverment3.0)_PublicData3.0_201412.csv
3rd row(GRAC_Goverment3.0)_PublicData3.0_201501.csv
4th row(GRAC_Goverment3.0)_PublicData3.0_201503.csv
5th row(GRAC_Goverment3.0)_PublicData3.0_201504.csv
ValueCountFrequency (%)
목록.csv 19
 
9.6%
등 19
 
9.6%
게임물 8
 
4.1%
결정 6
 
3.0%
등급분류 3
 
1.5%
230614_등급결정 2
 
1.0%
2022년 2
 
1.0%
및 2
 
1.0%
202204_등급결정 2
 
1.0%
등급분류결정 2
 
1.0%
Other values (132) 132
67.0%
2023-12-12T20:48:04.323698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 268
 
12.2%
2 224
 
10.2%
. 154
 
7.0%
1 147
 
6.7%
c 126
 
5.7%
v 126
 
5.7%
s 112
 
5.1%
75
 
3.4%
_ 68
 
3.1%
3 55
 
2.5%
Other values (68) 850
38.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 843
38.2%
Lowercase Letter 602
27.3%
Other Letter 277
 
12.6%
Other Punctuation 154
 
7.0%
Uppercase Letter 129
 
5.9%
Space Separator 75
 
3.4%
Connector Punctuation 68
 
3.1%
Close Punctuation 27
 
1.2%
Open Punctuation 27
 
1.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 45
16.2%
정 28
10.1%
급 26
9.4%
결 26
9.4%
목 25
9.0%
록 25
9.0%
물 11
 
4.0%
임 11
 
4.0%
게 11
 
4.0%
월 10
 
3.6%
Other values (25) 59
21.3%
Lowercase Letter
ValueCountFrequency (%)
c 126
20.9%
v 126
20.9%
s 112
18.6%
e 32
 
5.3%
t 32
 
5.3%
a 32
 
5.3%
i 18
 
3.0%
l 18
 
3.0%
b 16
 
2.7%
u 16
 
2.7%
Other values (9) 74
12.3%
Decimal Number
ValueCountFrequency (%)
0 268
31.8%
2 224
26.6%
1 147
17.4%
3 55
 
6.5%
7 28
 
3.3%
5 26
 
3.1%
8 26
 
3.1%
6 25
 
3.0%
9 25
 
3.0%
4 19
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
G 31
24.0%
C 22
17.1%
D 16
12.4%
P 16
12.4%
A 15
11.6%
R 15
11.6%
S 7
 
5.4%
V 7
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 154
100.0%
Space Separator
ValueCountFrequency (%)
75
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1197
54.3%
Latin 731
33.2%
Hangul 277
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 45
16.2%
정 28
10.1%
급 26
9.4%
결 26
9.4%
목 25
9.0%
록 25
9.0%
물 11
 
4.0%
임 11
 
4.0%
게 11
 
4.0%
월 10
 
3.6%
Other values (25) 59
21.3%
Latin
ValueCountFrequency (%)
c 126
17.2%
v 126
17.2%
s 112
15.3%
e 32
 
4.4%
t 32
 
4.4%
a 32
 
4.4%
G 31
 
4.2%
C 22
 
3.0%
i 18
 
2.5%
l 18
 
2.5%
Other values (17) 182
24.9%
Common
ValueCountFrequency (%)
0 268
22.4%
2 224
18.7%
. 154
12.9%
1 147
12.3%
75
 
6.3%
_ 68
 
5.7%
3 55
 
4.6%
7 28
 
2.3%
) 27
 
2.3%
( 27
 
2.3%
Other values (6) 124
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1928
87.4%
Hangul 277
 
12.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 268
13.9%
2 224
 
11.6%
. 154
 
8.0%
1 147
 
7.6%
c 126
 
6.5%
v 126
 
6.5%
s 112
 
5.8%
75
 
3.9%
_ 68
 
3.5%
3 55
 
2.9%
Other values (33) 573
29.7%
Hangul
ValueCountFrequency (%)
등 45
16.2%
정 28
10.1%
급 26
9.4%
결 26
9.4%
목 25
9.0%
록 25
9.0%
물 11
 
4.0%
임 11
 
4.0%
게 11
 
4.0%
월 10
 
3.6%
Other values (25) 59
21.3%

첨부파일확장자2
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
111 
csv
110 
CSV
 
7
zip
 
2
xls
 
1
Other values (2)
 
2

Length

Max length4
Median length3
Mean length3.4806867
Min length3

Unique

Unique3 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 111
47.6%
csv 110
47.2%
CSV 7
 
3.0%
zip 2
 
0.9%
xls 1
 
0.4%
xlsx 1
 
0.4%
hwp 1
 
0.4%

Length

2023-12-12T20:48:04.504736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:48:04.645782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
csv 117
50.2%
na 111
47.6%
zip 2
 
0.9%
xls 1
 
0.4%
xlsx 1
 
0.4%
hwp 1
 
0.4%

첨부파일사이즈2
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19193.438
Minimum0
Maximum2507100
Zeros132
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T20:48:04.847203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315957
95-th percentile35824.8
Maximum2507100
Range2507100
Interquartile range (IQR)15957

Descriptive statistics

Standard deviation164219.73
Coefficient of variation (CV)8.5560353
Kurtosis229.97339
Mean19193.438
Median Absolute Deviation (MAD)0
Skewness15.117047
Sum4472071
Variance2.696812 × 1010
MonotonicityNot monotonic
2023-12-12T20:48:05.039820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 132
56.7%
6099 2
 
0.9%
16753 2
 
0.9%
18552 1
 
0.4%
35874 1
 
0.4%
23874 1
 
0.4%
35966 1
 
0.4%
21584 1
 
0.4%
15600 1
 
0.4%
17976 1
 
0.4%
Other values (90) 90
38.6%
ValueCountFrequency (%)
0 132
56.7%
243 1
 
0.4%
447 1
 
0.4%
484 1
 
0.4%
627 1
 
0.4%
651 1
 
0.4%
782 1
 
0.4%
795 1
 
0.4%
940 1
 
0.4%
1171 1
 
0.4%
ValueCountFrequency (%)
2507100 1
0.4%
76288 1
0.4%
74689 1
0.4%
53760 1
0.4%
40960 1
0.4%
39056 1
0.4%
38960 1
0.4%
37484 1
0.4%
37248 1
0.4%
36210 1
0.4%

첨부파일다운로드2
Real number (ℝ)

ZEROS 

Distinct84
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.828326
Minimum0
Maximum437
Zeros111
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T20:48:05.210119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q372
95-th percentile161
Maximum437
Range437
Interquartile range (IQR)72

Descriptive statistics

Standard deviation68.170272
Coefficient of variation (CV)1.555393
Kurtosis8.1441868
Mean43.828326
Median Absolute Deviation (MAD)10
Skewness2.4631738
Sum10212
Variance4647.1859
MonotonicityNot monotonic
2023-12-12T20:48:05.373528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 111
47.6%
10 4
 
1.7%
32 3
 
1.3%
47 3
 
1.3%
63 3
 
1.3%
90 3
 
1.3%
58 3
 
1.3%
26 3
 
1.3%
56 3
 
1.3%
11 3
 
1.3%
Other values (74) 94
40.3%
ValueCountFrequency (%)
0 111
47.6%
1 1
 
0.4%
5 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
9 1
 
0.4%
10 4
 
1.7%
11 3
 
1.3%
12 2
 
0.9%
13 1
 
0.4%
ValueCountFrequency (%)
437 1
0.4%
370 1
0.4%
310 1
0.4%
305 1
0.4%
272 1
0.4%
256 1
0.4%
239 1
0.4%
202 1
0.4%
178 1
0.4%
175 1
0.4%

공지여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
233 

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 (%)
0 233
100.0%

Length

2023-12-12T20:48:05.509305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:48:05.599418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 233
100.0%

내용 태그 사용 여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
233 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
233
100.0%

Length

2023-12-12T20:48:05.694202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:48:05.786077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
233 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
233
100.0%

Length

2023-12-12T20:48:05.902966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:48:05.998170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
233 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
233
100.0%

Length

2023-12-12T20:48:06.100380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:48:06.189241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

링크주소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
233 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
233
100.0%

Length

2023-12-12T20:48:06.289466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:48:06.403318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

통지일시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
233 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
233
100.0%

Length

2023-12-12T20:48:06.500598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:48:06.615786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

삭제여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing233
Missing (%)100.0%
Memory size2.2 KiB

생성일
Date

Distinct230
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2009-03-16 09:44:58
Maximum2023-08-24 17:54:07
2023-12-12T20:48:06.724243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:48:06.893255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

변경일
Date

Distinct230
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2009-03-16 09:46:58
Maximum2023-08-24 17:54:07
2023-12-12T20:48:07.374008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:48:07.563409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

게시물 번호게시판코드게시물그룹게시물답변구분제목내용조회수첨부파일명1첨부파일확장자1첨부파일사이즈1첨부파일다운로드1첨부파일명2첨부파일확장자2첨부파일사이즈2첨부파일다운로드2공지여부내용 태그 사용 여부유형상태링크주소통지일시삭제여부생성일변경일
07Explanation10000게임물 등급분류 통지 (2007.10.19.일자)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=713974071019게임물등급분류통지의건(2).zipzip58861134<NA><NA>000<NA>2009-03-16 09:44:582012-08-02 16:47:53
110Explanation40000게임물 등급분류 통지 (2008.01.25.일자)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=101519120080129.zipzip15110651<NA><NA>000<NA>2009-03-16 09:48:152009-03-16 09:48:15
211Explanation50000게임물 등급분류 통지 (2008.02.29.일자)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=1115358등급분류통지_20080304.zipzip13938541<NA><NA>000<NA>2009-03-16 09:48:552009-03-16 09:48:55
312Explanation60000게임물 등급분류 통지 (2008.04.02.일자)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=1215040등급분류통지_20080404.zipzip14267235<NA><NA>000<NA>2009-03-16 09:49:302009-03-16 09:49:30
416Explanation100000게임물 등급분류 통지 (2008.08.11.일자)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=1614329게임물 등급분류 통지 (2008[1].08.11일자).zipzip3646944<NA><NA>000<NA>2009-03-16 09:53:172009-03-16 09:53:33
520Explanation140000게임물 등급분류 통지 (2008.12.08.일자)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=2014067게임물 등급분류 통지 (2008[1].12.08).zipzip39059102<NA><NA>000<NA>2009-03-16 09:56:302009-03-16 09:56:30
623Explanation170000게임물 등급분류 통지 (2009.03.04.일자)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=2316447게임물 등급분류 통지 (2009.03.04).zipzip30600191<NA><NA>000<NA>2009-03-17 10:56:572009-03-31 10:38:36
724Explanation180000게임물 등급분류 통지 (2009.03.30.일자)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=2417231게임물 등급분류 통지 (2009.03.30).zipzip38380678<NA><NA>000<NA>2009-03-30 16:19:512009-03-30 16:23:49
825Explanation190000게임물 등급분류 통지 (2009.04.30.일자)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=2517016게임물 등급분류 통지 (2009.04.30).zipzip47459593<NA><NA>000<NA>2009-04-30 13:38:522009-04-30 13:42:12
926Explanation200000게임물 등급분류 통지 (2009.05.29.일자)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=2616146게임물 등급분류 통지 (2009.06.02).zipzip42344372<NA><NA>000<NA>2009-06-03 09:14:142009-06-03 09:14:14
게시물 번호게시판코드게시물그룹게시물답변구분제목내용조회수첨부파일명1첨부파일확장자1첨부파일사이즈1첨부파일다운로드1첨부파일명2첨부파일확장자2첨부파일사이즈2첨부파일다운로드2공지여부내용 태그 사용 여부유형상태링크주소통지일시삭제여부생성일변경일
223225Explanation2150000게임물 직권등급재분류 및 등급취소 결정공표(2022.9.13.)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=22517152022-101_게임물관리위원회 직권등급재분류 및 등급취소 결정 게임물 목록(22년 7월).hwphwp593922622022-113_게임물관리위원회 직권등급재분류 및 등급취소 결정 게임물 목록(22년 8월).hwphwp762882560<NA>2022-09-13 13:23:432022-09-13 13:23:43
224230Explanation2200000게임물 직권등급재분류, 등급조정 및 등급취소 결정공표(2022.11.7.)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=23050782022-135_게임물관리위원회 직권등급재분류(등급조정) 및 등급취소 결정 게임물 목록(22년 10월).hwphwp645127<NA><NA>000<NA>2022-11-07 17:53:392023-06-27 17:45:21
225232Explanation2220000게임물 등급분류결정 취소 공표(2023.1.2.)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=23255123.01.02_등급분류 취소 결정 등 관보게재 등록 관련(2022년 11월-12월 결정분).zipzip405235920230102_등급결정취소 게임물 목록.csvcsv1185650<NA>2023-01-02 10:25:172023-01-02 10:25:17
226234Explanation2240000게임물 등급분류 결정 공표(2023.2.8.)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=234162023.02.08_등급분류 결정 등 관보게재 등록 관련 보고(2023년 1월 결정분).zipzip220739102202301_등급결정 등 목록.csvcsv94301060<NA>2023-02-10 10:46:252023-02-10 10:46:25
227240Explanation2300000게임물 등급분류 결정 공표(2023.6.14.)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=240154923.06.14_등급분류 결정 등 관보게재 등록 관련 보고(2023년 5월 결정분).zipzip175436116230614_등급결정 등 목록.csvcsv60991260<NA>2023-06-14 09:53:472023-06-14 09:53:47
228242Explanation2320000게임물 직권등급재분류, 등급조정 및 등급취소 결정공표(2023.7.12.)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=2424752023-086_게임물관리위원회 직권등급재분류(등급조정) 및 등급취소 결정 게임물 목록(23년 6월).hwphwp67072173<NA><NA>000<NA>2023-07-12 17:45:212023-07-12 17:45:21
229244Explanation2340000게임물 직권등급재분류, 등급조정 및 등급취소 결정공표(2023.8.24.)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=244482023-104_게임물관리위원회 직권등급재분류(등급조정) 및 등급취소 결정 게임물 목록(23년 7월).hwphwp6809625<NA><NA>000<NA>2023-08-24 17:54:072023-08-24 17:54:07
230240Explanation2300000게임물 등급분류 결정 공표(2023.6.14.)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=240154923.06.14_등급분류 결정 등 관보게재 등록 관련 보고(2023년 5월 결정분).zipzip175436116230614_등급결정 등 목록.csvcsv60991260<NA>2023-06-14 09:53:472023-06-14 09:53:47
231242Explanation2320000게임물 직권등급재분류, 등급조정 및 등급취소 결정공표(2023.7.12.)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=2424752023-086_게임물관리위원회 직권등급재분류(등급조정) 및 등급취소 결정 게임물 목록(23년 6월).hwphwp67072173<NA><NA>000<NA>2023-07-12 17:45:212023-07-12 17:45:21
232244Explanation2340000게임물 직권등급재분류, 등급조정 및 등급취소 결정공표(2023.8.24.)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=244482023-104_게임물관리위원회 직권등급재분류(등급조정) 및 등급취소 결정 게임물 목록(23년 7월).hwphwp6809625<NA><NA>000<NA>2023-08-24 17:54:072023-08-24 17:54:07

Duplicate rows

Most frequently occurring

게시물 번호게시판코드게시물그룹게시물답변구분제목내용조회수첨부파일명1첨부파일확장자1첨부파일사이즈1첨부파일다운로드1첨부파일명2첨부파일확장자2첨부파일사이즈2첨부파일다운로드2공지여부내용 태그 사용 여부유형상태링크주소통지일시생성일변경일# duplicates
0240Explanation2300000게임물 등급분류 결정 공표(2023.6.14.)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=240154923.06.14_등급분류 결정 등 관보게재 등록 관련 보고(2023년 5월 결정분).zipzip175436116230614_등급결정 등 목록.csvcsv609912602023-06-14 09:53:472023-06-14 09:53:472
1242Explanation2320000게임물 직권등급재분류, 등급조정 및 등급취소 결정공표(2023.7.12.)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=2424752023-086_게임물관리위원회 직권등급재분류(등급조정) 및 등급취소 결정 게임물 목록(23년 6월).hwphwp67072173<NA><NA>0002023-07-12 17:45:212023-07-12 17:45:212
2244Explanation2340000게임물 직권등급재분류, 등급조정 및 등급취소 결정공표(2023.8.24.)https://www.grac.or.kr/Board/Explanation.aspx?searchtype=004&type=view&bno=244482023-104_게임물관리위원회 직권등급재분류(등급조정) 및 등급취소 결정 게임물 목록(23년 7월).hwphwp6809625<NA><NA>0002023-08-24 17:54:072023-08-24 17:54:072