Overview

Dataset statistics

Number of variables24
Number of observations75
Missing cells375
Missing cells (%)20.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.4 KiB
Average record size in memory209.8 B

Variable types

Numeric2
Categorical11
Text2
Unsupported5
DateTime4

Dataset

Description게임물관리위원회_이벤트 행사 켐페인(행사안내) 기관 행사 및 외부행사에 관한 안내, (첨부파일) 행사 및 기타 신청서 양식 제공
Author게임물관리위원회
URLhttps://www.data.go.kr/data/15120766/fileData.do

Alerts

게시판코드 has constant value ""Constant
게시물답변구분 has constant value ""Constant
조회수 has constant value ""Constant
첨부파일사이즈1 has constant value ""Constant
첨부파일다운로드1 has constant value ""Constant
첨부파일사이즈2 has constant value ""Constant
첨부파일다운로드2 has constant value ""Constant
공지여부 has constant value ""Constant
내용 태그 사용 여부 has constant value ""Constant
삭제여부 has constant value ""Constant
첨부파일명1 has 75 (100.0%) missing valuesMissing
첨부파일확장자1 has 75 (100.0%) missing valuesMissing
첨부파일명2 has 75 (100.0%) missing valuesMissing
첨부파일확장자2 has 75 (100.0%) missing valuesMissing
링크주소 has 75 (100.0%) missing valuesMissing
게시물일련번호 has unique valuesUnique
게시물그룹 has unique valuesUnique
생성일 has unique valuesUnique
변경일 has unique valuesUnique
첨부파일명1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
첨부파일확장자1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
첨부파일명2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
첨부파일확장자2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
링크주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 23:03:07.311901
Analysis finished2023-12-12 23:03:07.657712
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

게시물일련번호
Real number (ℝ)

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.88
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T08:03:07.729038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.7
Q120.5
median39
Q357.5
95-th percentile72.3
Maximum76
Range75
Interquartile range (IQR)37

Descriptive statistics

Standard deviation21.980311
Coefficient of variation (CV)0.56533721
Kurtosis-1.1785089
Mean38.88
Median Absolute Deviation (MAD)19
Skewness-0.02302599
Sum2916
Variance483.13405
MonotonicityStrictly increasing
2023-12-13T08:03:07.886915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (65) 65
86.7%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
11 1
1.3%
ValueCountFrequency (%)
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%

게시판코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
EventsCampaign
75 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
EventsCampaign 75
100.0%

Length

2023-12-13T08:03:08.051115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:03:08.164778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
eventscampaign 75
100.0%

게시물그룹
Real number (ℝ)

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38880
Minimum1000
Maximum76000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-13T08:03:08.280796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile4700
Q120500
median39000
Q357500
95-th percentile72300
Maximum76000
Range75000
Interquartile range (IQR)37000

Descriptive statistics

Standard deviation21980.311
Coefficient of variation (CV)0.56533721
Kurtosis-1.1785089
Mean38880
Median Absolute Deviation (MAD)19000
Skewness-0.02302599
Sum2916000
Variance4.8313405 × 108
MonotonicityStrictly increasing
2023-12-13T08:03:08.412462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 1
 
1.3%
50000 1
 
1.3%
57000 1
 
1.3%
56000 1
 
1.3%
55000 1
 
1.3%
54000 1
 
1.3%
53000 1
 
1.3%
52000 1
 
1.3%
51000 1
 
1.3%
49000 1
 
1.3%
Other values (65) 65
86.7%
ValueCountFrequency (%)
1000 1
1.3%
2000 1
1.3%
3000 1
1.3%
4000 1
1.3%
5000 1
1.3%
6000 1
1.3%
7000 1
1.3%
8000 1
1.3%
9000 1
1.3%
11000 1
1.3%
ValueCountFrequency (%)
76000 1
1.3%
75000 1
1.3%
74000 1
1.3%
73000 1
1.3%
72000 1
1.3%
71000 1
1.3%
70000 1
1.3%
69000 1
1.3%
68000 1
1.3%
67000 1
1.3%

게시물답변구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
0
75 

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 75
100.0%

Length

2023-12-13T08:03:08.563867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:03:08.661810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 75
100.0%

제목
Text

Distinct50
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-13T08:03:08.863236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length9.32
Min length4

Characters and Unicode

Total characters699
Distinct characters147
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)52.0%

Sample

1st row부산혁신도시 자원봉사
2nd row2017 불법온라인게임물 사후관리 강화 포럼
3rd row게임톡소다
4th row게임톡소다
5th rowGGG 해단식
ValueCountFrequency (%)
사랑의 15
 
10.1%
헌혈 14
 
9.5%
굿게이머패밀리 8
 
5.4%
창립기념일 6
 
4.1%
발대식 6
 
4.1%
해단식 6
 
4.1%
게임대상 5
 
3.4%
g-star 5
 
3.4%
모니터링단 5
 
3.4%
위촉식 3
 
2.0%
Other values (63) 75
50.7%
2023-12-13T08:03:09.291342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
16.7%
28
 
4.0%
24
 
3.4%
19
 
2.7%
17
 
2.4%
17
 
2.4%
15
 
2.1%
14
 
2.0%
14
 
2.0%
14
 
2.0%
Other values (137) 420
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 517
74.0%
Space Separator 117
 
16.7%
Uppercase Letter 44
 
6.3%
Decimal Number 12
 
1.7%
Dash Punctuation 7
 
1.0%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
5.4%
24
 
4.6%
19
 
3.7%
17
 
3.3%
17
 
3.3%
15
 
2.9%
14
 
2.7%
14
 
2.7%
14
 
2.7%
13
 
2.5%
Other values (117) 342
66.2%
Uppercase Letter
ValueCountFrequency (%)
G 12
27.3%
R 6
13.6%
A 6
13.6%
S 6
13.6%
T 5
11.4%
M 2
 
4.5%
E 1
 
2.3%
D 1
 
2.3%
U 1
 
2.3%
K 1
 
2.3%
Other values (3) 3
 
6.8%
Decimal Number
ValueCountFrequency (%)
7 3
25.0%
1 3
25.0%
0 3
25.0%
2 3
25.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 517
74.0%
Common 138
 
19.7%
Latin 44
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
5.4%
24
 
4.6%
19
 
3.7%
17
 
3.3%
17
 
3.3%
15
 
2.9%
14
 
2.7%
14
 
2.7%
14
 
2.7%
13
 
2.5%
Other values (117) 342
66.2%
Latin
ValueCountFrequency (%)
G 12
27.3%
R 6
13.6%
A 6
13.6%
S 6
13.6%
T 5
11.4%
M 2
 
4.5%
E 1
 
2.3%
D 1
 
2.3%
U 1
 
2.3%
K 1
 
2.3%
Other values (3) 3
 
6.8%
Common
ValueCountFrequency (%)
117
84.8%
- 7
 
5.1%
7 3
 
2.2%
1 3
 
2.2%
0 3
 
2.2%
2 3
 
2.2%
. 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 517
74.0%
ASCII 182
 
26.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
64.3%
G 12
 
6.6%
- 7
 
3.8%
R 6
 
3.3%
A 6
 
3.3%
S 6
 
3.3%
T 5
 
2.7%
7 3
 
1.6%
1 3
 
1.6%
0 3
 
1.6%
Other values (10) 14
 
7.7%
Hangul
ValueCountFrequency (%)
28
 
5.4%
24
 
4.6%
19
 
3.7%
17
 
3.3%
17
 
3.3%
15
 
2.9%
14
 
2.7%
14
 
2.7%
14
 
2.7%
13
 
2.5%
Other values (117) 342
66.2%

내용
Text

Distinct53
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-13T08:03:09.560567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length11.386667
Min length5

Characters and Unicode

Total characters854
Distinct characters147
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)58.7%

Sample

1st row부산혁신도시 자원봉사
2nd row2017 불법온라인게임물 사후관리 강화 포럼
3rd row2017 게임톡소다
4th row2017 게임톡소다
5th rowGGG 해단식
ValueCountFrequency (%)
사랑의 15
 
9.9%
헌혈 14
 
9.2%
굿게이머패밀리 8
 
5.3%
창립기념일 6
 
3.9%
해단식 6
 
3.9%
발대식 6
 
3.9%
게임대상 5
 
3.3%
g-star 5
 
3.3%
모니터링단 5
 
3.3%
2017 5
 
3.3%
Other values (65) 77
50.7%
2023-12-13T08:03:09.990683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
29.5%
29
 
3.4%
24
 
2.8%
19
 
2.2%
18
 
2.1%
17
 
2.0%
15
 
1.8%
14
 
1.6%
14
 
1.6%
14
 
1.6%
Other values (137) 438
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 525
61.5%
Space Separator 252
29.5%
Uppercase Letter 44
 
5.2%
Decimal Number 24
 
2.8%
Dash Punctuation 7
 
0.8%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
5.5%
24
 
4.6%
19
 
3.6%
18
 
3.4%
17
 
3.2%
15
 
2.9%
14
 
2.7%
14
 
2.7%
14
 
2.7%
13
 
2.5%
Other values (117) 348
66.3%
Uppercase Letter
ValueCountFrequency (%)
G 12
27.3%
R 6
13.6%
A 6
13.6%
S 6
13.6%
T 5
11.4%
M 2
 
4.5%
D 1
 
2.3%
E 1
 
2.3%
U 1
 
2.3%
K 1
 
2.3%
Other values (3) 3
 
6.8%
Decimal Number
ValueCountFrequency (%)
2 8
33.3%
0 6
25.0%
1 5
20.8%
7 5
20.8%
Space Separator
ValueCountFrequency (%)
252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 525
61.5%
Common 285
33.4%
Latin 44
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
5.5%
24
 
4.6%
19
 
3.6%
18
 
3.4%
17
 
3.2%
15
 
2.9%
14
 
2.7%
14
 
2.7%
14
 
2.7%
13
 
2.5%
Other values (117) 348
66.3%
Latin
ValueCountFrequency (%)
G 12
27.3%
R 6
13.6%
A 6
13.6%
S 6
13.6%
T 5
11.4%
M 2
 
4.5%
D 1
 
2.3%
E 1
 
2.3%
U 1
 
2.3%
K 1
 
2.3%
Other values (3) 3
 
6.8%
Common
ValueCountFrequency (%)
252
88.4%
2 8
 
2.8%
- 7
 
2.5%
0 6
 
2.1%
1 5
 
1.8%
7 5
 
1.8%
. 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 525
61.5%
ASCII 329
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
252
76.6%
G 12
 
3.6%
2 8
 
2.4%
- 7
 
2.1%
R 6
 
1.8%
A 6
 
1.8%
S 6
 
1.8%
0 6
 
1.8%
1 5
 
1.5%
T 5
 
1.5%
Other values (10) 16
 
4.9%
Hangul
ValueCountFrequency (%)
29
 
5.5%
24
 
4.6%
19
 
3.6%
18
 
3.4%
17
 
3.2%
15
 
2.9%
14
 
2.7%
14
 
2.7%
14
 
2.7%
13
 
2.5%
Other values (117) 348
66.3%

조회수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
0
75 

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 75
100.0%

Length

2023-12-13T08:03:10.143839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:03:10.232665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 75
100.0%

첨부파일명1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

첨부파일확장자1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

첨부파일사이즈1
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
0
75 

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 75
100.0%

Length

2023-12-13T08:03:10.331454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:03:10.427839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 75
100.0%

첨부파일다운로드1
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
0
75 

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 75
100.0%

Length

2023-12-13T08:03:10.524784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:03:10.630345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 75
100.0%

첨부파일명2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

첨부파일확장자2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

첨부파일사이즈2
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
0
75 

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 75
100.0%

Length

2023-12-13T08:03:10.726295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:03:10.873499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 75
100.0%

첨부파일다운로드2
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
0
75 

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 75
100.0%

Length

2023-12-13T08:03:10.998813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:03:11.123819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 75
100.0%

공지여부
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
0
75 

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 75
100.0%

Length

2023-12-13T08:03:11.231426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:03:11.335885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 75
100.0%

내용 태그 사용 여부
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
0
75 

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 75
100.0%

Length

2023-12-13T08:03:11.775438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:03:11.908128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 75
100.0%
Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
4
44 
1
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 44
58.7%
1 31
41.3%

Length

2023-12-13T08:03:12.020011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:03:12.124856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 44
58.7%
1 31
41.3%
Distinct70
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2017-08-30 00:00:00
Maximum2022-12-23 00:00:00
2023-12-13T08:03:12.237713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:03:12.415420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct70
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2017-08-30 00:00:00
Maximum2022-12-23 00:00:00
2023-12-13T08:03:12.575265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:03:12.730439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

생성일
Date

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2022-10-27 16:23:44
Maximum2022-11-14 17:52:53
2023-12-13T08:03:12.912332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:03:13.080232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

변경일
Date

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2022-10-27 16:23:44
Maximum2022-11-14 17:53:36
2023-12-13T08:03:13.247100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:03:13.409224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

삭제여부
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
75 

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 (%)
75
100.0%

Length

2023-12-13T08:03:13.559271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:03:13.659738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

링크주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

Sample

게시물일련번호게시판코드게시물그룹게시물답변구분제목내용조회수첨부파일명1첨부파일확장자1첨부파일사이즈1첨부파일다운로드1첨부파일명2첨부파일확장자2첨부파일사이즈2첨부파일다운로드2공지여부내용 태그 사용 여부행사 이벤트 캠페인시작일종료일생성일변경일삭제여부링크주소
01EventsCampaign10000부산혁신도시 자원봉사부산혁신도시 자원봉사0<NA><NA>00<NA><NA>000012017-08-30 00:00:002017-08-30 00:00:002022-10-27 16:23:442022-10-27 16:23:44<NA>
12EventsCampaign200002017 불법온라인게임물 사후관리 강화 포럼2017 불법온라인게임물 사후관리 강화 포럼0<NA><NA>00<NA><NA>000042017-09-27 00:00:002017-09-29 00:00:002022-10-27 17:51:412022-10-31 18:03:05<NA>
23EventsCampaign30000게임톡소다2017 게임톡소다0<NA><NA>00<NA><NA>000042017-10-25 00:00:002017-10-25 00:00:002022-10-27 17:52:102022-10-27 17:52:10<NA>
34EventsCampaign40000게임톡소다2017 게임톡소다0<NA><NA>00<NA><NA>000042017-11-24 00:00:002017-11-24 00:00:002022-10-27 17:53:042022-10-31 18:24:28<NA>
45EventsCampaign50000GGG 해단식GGG 해단식0<NA><NA>00<NA><NA>000042017-11-29 00:00:002017-11-29 00:00:002022-10-27 17:53:282022-10-31 18:04:51<NA>
56EventsCampaign600002017 게임이용자 교육 컨퍼런스2017 게임이용자 교육 컨퍼런스0<NA><NA>00<NA><NA>000042017-11-30 00:00:002017-11-30 00:00:002022-10-27 17:53:472022-10-31 18:23:54<NA>
67EventsCampaign70000사랑의 헌혈사랑의 헌혈0<NA><NA>00<NA><NA>000012017-12-05 00:00:002017-12-05 00:00:002022-10-27 17:55:262022-10-31 18:11:28<NA>
78EventsCampaign800002017 굿게이머패밀리2017 굿게이머패밀리0<NA><NA>00<NA><NA>000042017-12-16 00:00:002017-12-16 00:00:002022-10-27 17:55:482022-10-27 17:55:48<NA>
89EventsCampaign90000자체등급분류 게임물 모니터링 해단식자체등급분류 게임물 모니터링 해단식0<NA><NA>00<NA><NA>000042017-12-26 00:00:002017-12-26 00:00:002022-10-27 17:56:072022-10-27 18:01:22<NA>
911EventsCampaign110000창립기념일창립기념일0<NA><NA>00<NA><NA>000042017-12-23 00:00:002017-12-23 00:00:002022-10-28 10:09:372022-10-31 13:37:23<NA>
게시물일련번호게시판코드게시물그룹게시물답변구분제목내용조회수첨부파일명1첨부파일확장자1첨부파일사이즈1첨부파일다운로드1첨부파일명2첨부파일확장자2첨부파일사이즈2첨부파일다운로드2공지여부내용 태그 사용 여부행사 이벤트 캠페인시작일종료일생성일변경일삭제여부링크주소
6567EventsCampaign670000창립기념일창립기념일0<NA><NA>00<NA><NA>000042021-12-23 00:00:002021-12-23 00:00:002022-10-31 15:07:452022-10-31 15:07:45<NA>
6668EventsCampaign680000사랑의 헌혈사랑의 헌혈0<NA><NA>00<NA><NA>000012022-02-18 00:00:002022-02-18 00:00:002022-10-31 15:08:052022-10-31 15:08:05<NA>
6769EventsCampaign690000모니터링단 발대식모니터링단 발대식0<NA><NA>00<NA><NA>000042022-04-01 00:00:002022-04-01 00:00:002022-10-31 15:08:262022-10-31 15:08:26<NA>
6870EventsCampaign700000사후관리 서포터즈 발대식사후관리 서포터즈 발대식0<NA><NA>00<NA><NA>000042022-04-06 00:00:002022-04-06 00:00:002022-10-31 15:08:462022-10-31 15:08:46<NA>
6971EventsCampaign710000사랑의 헌혈사랑의 헌혈0<NA><NA>00<NA><NA>000012022-06-24 00:00:002022-06-24 00:00:002022-10-31 15:09:052022-10-31 15:09:05<NA>
7072EventsCampaign720000사랑의 헌혈사랑의 헌혈0<NA><NA>00<NA><NA>000012022-08-19 00:00:002022-08-19 00:00:002022-10-31 15:09:232022-10-31 15:09:23<NA>
7173EventsCampaign730000G-STARG-STAR0<NA><NA>00<NA><NA>000012022-11-17 00:00:002022-11-17 00:00:002022-10-31 15:09:522022-10-31 17:59:03<NA>
7274EventsCampaign740000게임대상게임대상0<NA><NA>00<NA><NA>000012022-11-17 00:00:002022-11-17 00:00:002022-10-31 15:10:072022-10-31 15:10:07<NA>
7375EventsCampaign750000창립기념일창립기념일0<NA><NA>00<NA><NA>000042022-12-23 00:00:002022-12-23 00:00:002022-10-31 15:10:272022-10-31 15:10:27<NA>
7476EventsCampaign760000게임정책세미나2022 게임물관리위원회 게임정책세미나0<NA><NA>00<NA><NA>000042022-11-17 00:00:002022-11-17 00:00:002022-11-14 17:52:532022-11-14 17:53:36<NA>