Overview

Dataset statistics

Number of variables7
Number of observations472
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.3 KiB
Average record size in memory59.3 B

Variable types

Numeric3
Categorical2
Text2

Dataset

Description방송통신위원회에서 매해 수행하는 정책연구보고서 현황정보 -사업년도, 발행년도, 과제명, 연구수행기관, 원문공개상태(공개, 비공개) 등에 대한 정보
URLhttps://www.data.go.kr/data/3068659/fileData.do

Alerts

기관 has constant value ""Constant
순번 is highly overall correlated with 사업년도 and 1 other fieldsHigh correlation
사업년도 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
발행년도 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
원문공개상태 is highly imbalanced (58.1%)Imbalance
순번 has unique valuesUnique
과제명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:31:26.561281
Analysis finished2023-12-12 06:31:28.393308
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct472
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236.5
Minimum1
Maximum472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-12T15:31:28.488933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.55
Q1118.75
median236.5
Q3354.25
95-th percentile448.45
Maximum472
Range471
Interquartile range (IQR)235.5

Descriptive statistics

Standard deviation136.39892
Coefficient of variation (CV)0.57673964
Kurtosis-1.2
Mean236.5
Median Absolute Deviation (MAD)118
Skewness0
Sum111628
Variance18604.667
MonotonicityStrictly increasing
2023-12-12T15:31:28.657926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
312 1
 
0.2%
324 1
 
0.2%
323 1
 
0.2%
322 1
 
0.2%
321 1
 
0.2%
320 1
 
0.2%
319 1
 
0.2%
318 1
 
0.2%
317 1
 
0.2%
Other values (462) 462
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
472 1
0.2%
471 1
0.2%
470 1
0.2%
469 1
0.2%
468 1
0.2%
467 1
0.2%
466 1
0.2%
465 1
0.2%
464 1
0.2%
463 1
0.2%

기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
방송통신위원회
472 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방송통신위원회 472
100.0%

Length

2023-12-12T15:31:28.819600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:31:28.935602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방송통신위원회 472
100.0%

과제명
Text

UNIQUE 

Distinct472
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-12T15:31:29.304207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length44.5
Mean length28.048729
Min length11

Characters and Unicode

Total characters13239
Distinct characters422
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique472 ?
Unique (%)100.0%

Sample

1st row위성탑재용 멀티빔 형성 신호처리 기술 연구
2nd row준마이크로대역 실내 전파특성 모델개발에 관한 연구(2차년도)
3rd row전자파장해 및 내성관련 국제규격 연구
4th row준마이크로대 RFIC 일체형 패치안테나 설계 및 제작에 관한 연구(2차년도)
5th rowIMT-2000 기술기준 및 시험방법 연구
ValueCountFrequency (%)
연구 376
 
11.5%
및 130
 
4.0%
위한 113
 
3.5%
방안 111
 
3.4%
따른 47
 
1.4%
관한 44
 
1.4%
개선방안 42
 
1.3%
분석 32
 
1.0%
방송통신 31
 
1.0%
개선 22
 
0.7%
Other values (1255) 2310
70.9%
2023-12-12T15:31:29.898933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2787
 
21.1%
방 536
 
4.0%
구 429
 
3.2%
연 402
 
3.0%
안 274
 
2.1%
송 238
 
1.8%
제 224
 
1.7%
한 210
 
1.6%
정 206
 
1.6%
개 158
 
1.2%
Other values (412) 7775
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9994
75.5%
Space Separator 2787
 
21.1%
Uppercase Letter 210
 
1.6%
Decimal Number 98
 
0.7%
Lowercase Letter 49
 
0.4%
Other Punctuation 45
 
0.3%
Close Punctuation 24
 
0.2%
Open Punctuation 24
 
0.2%
Dash Punctuation 4
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 536
 
5.4%
구 429
 
4.3%
연 402
 
4.0%
안 274
 
2.7%
송 238
 
2.4%
제 224
 
2.2%
한 210
 
2.1%
정 206
 
2.1%
개 158
 
1.6%
통 147
 
1.5%
Other values (356) 7170
71.7%
Uppercase Letter
ValueCountFrequency (%)
M 22
 
10.5%
T 20
 
9.5%
I 17
 
8.1%
D 16
 
7.6%
A 15
 
7.1%
U 14
 
6.7%
S 12
 
5.7%
R 12
 
5.7%
H 12
 
5.7%
C 12
 
5.7%
Other values (9) 58
27.6%
Lowercase Letter
ValueCountFrequency (%)
i 6
12.2%
z 5
10.2%
e 5
10.2%
r 4
8.2%
a 4
8.2%
d 4
8.2%
n 4
8.2%
t 3
 
6.1%
l 3
 
6.1%
s 3
 
6.1%
Other values (7) 8
16.3%
Decimal Number
ValueCountFrequency (%)
2 29
29.6%
0 28
28.6%
1 18
18.4%
3 7
 
7.1%
5 6
 
6.1%
4 5
 
5.1%
9 2
 
2.0%
8 1
 
1.0%
6 1
 
1.0%
7 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
· 24
53.3%
. 11
24.4%
, 9
 
20.0%
' 1
 
2.2%
Space Separator
ValueCountFrequency (%)
2787
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㎓ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9994
75.5%
Common 2986
 
22.6%
Latin 259
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 536
 
5.4%
구 429
 
4.3%
연 402
 
4.0%
안 274
 
2.7%
송 238
 
2.4%
제 224
 
2.2%
한 210
 
2.1%
정 206
 
2.1%
개 158
 
1.6%
통 147
 
1.5%
Other values (356) 7170
71.7%
Latin
ValueCountFrequency (%)
M 22
 
8.5%
T 20
 
7.7%
I 17
 
6.6%
D 16
 
6.2%
A 15
 
5.8%
U 14
 
5.4%
S 12
 
4.6%
R 12
 
4.6%
H 12
 
4.6%
C 12
 
4.6%
Other values (26) 107
41.3%
Common
ValueCountFrequency (%)
2787
93.3%
2 29
 
1.0%
0 28
 
0.9%
) 24
 
0.8%
( 24
 
0.8%
· 24
 
0.8%
1 18
 
0.6%
. 11
 
0.4%
, 9
 
0.3%
3 7
 
0.2%
Other values (10) 25
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9992
75.5%
ASCII 3218
 
24.3%
None 24
 
0.2%
CJK Compat 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2787
86.6%
2 29
 
0.9%
0 28
 
0.9%
) 24
 
0.7%
( 24
 
0.7%
M 22
 
0.7%
T 20
 
0.6%
1 18
 
0.6%
I 17
 
0.5%
D 16
 
0.5%
Other values (44) 233
 
7.2%
Hangul
ValueCountFrequency (%)
방 536
 
5.4%
구 429
 
4.3%
연 402
 
4.0%
안 274
 
2.7%
송 238
 
2.4%
제 224
 
2.2%
한 210
 
2.1%
정 206
 
2.1%
개 158
 
1.6%
통 147
 
1.5%
Other values (355) 7168
71.7%
None
ValueCountFrequency (%)
· 24
100.0%
CJK Compat
ValueCountFrequency (%)
㎓ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

연구수행기관
Text

Distinct104
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-12T15:31:30.200161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length9.1567797
Min length4

Characters and Unicode

Total characters4322
Distinct characters155
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)14.2%

Sample

1st row(사)한국전자파학회
2nd row(사)한국전자파학회
3rd row(사)한국전자파학회
4th row경희대학교
5th row(사)한국통신학회
ValueCountFrequency (%)
정보통신정책연구원 146
26.4%
산학협력단 50
 
9.0%
미디어미래연구소 38
 
6.9%
사)한국전자파학회 36
 
6.5%
사)한국통신학회 27
 
4.9%
법무법인 22
 
4.0%
한국전파진흥협회 18
 
3.3%
사)한국언론학회 12
 
2.2%
한국정보통신진흥협회 11
 
2.0%
사)미디어미래연구소 11
 
2.0%
Other values (102) 182
32.9%
2023-12-12T15:31:30.624429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 338
 
7.8%
학 222
 
5.1%
연 216
 
5.0%
구 211
 
4.9%
신 210
 
4.9%
통 205
 
4.7%
보 182
 
4.2%
한 164
 
3.8%
국 161
 
3.7%
책 157
 
3.6%
Other values (145) 2256
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4040
93.5%
Open Punctuation 99
 
2.3%
Close Punctuation 99
 
2.3%
Space Separator 81
 
1.9%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 338
 
8.4%
학 222
 
5.5%
연 216
 
5.3%
구 211
 
5.2%
신 210
 
5.2%
통 205
 
5.1%
보 182
 
4.5%
한 164
 
4.1%
국 161
 
4.0%
책 157
 
3.9%
Other values (139) 1974
48.9%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
C 1
33.3%
T 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Space Separator
ValueCountFrequency (%)
81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4040
93.5%
Common 279
 
6.5%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 338
 
8.4%
학 222
 
5.5%
연 216
 
5.3%
구 211
 
5.2%
신 210
 
5.2%
통 205
 
5.1%
보 182
 
4.5%
한 164
 
4.1%
국 161
 
4.0%
책 157
 
3.9%
Other values (139) 1974
48.9%
Common
ValueCountFrequency (%)
( 99
35.5%
) 99
35.5%
81
29.0%
Latin
ValueCountFrequency (%)
I 1
33.3%
C 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4040
93.5%
ASCII 282
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 338
 
8.4%
학 222
 
5.5%
연 216
 
5.3%
구 211
 
5.2%
신 210
 
5.2%
통 205
 
5.1%
보 182
 
4.5%
한 164
 
4.1%
국 161
 
4.0%
책 157
 
3.9%
Other values (139) 1974
48.9%
ASCII
ValueCountFrequency (%)
( 99
35.1%
) 99
35.1%
81
28.7%
I 1
 
0.4%
C 1
 
0.4%
T 1
 
0.4%

사업년도
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.7119
Minimum2000
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-12T15:31:30.796669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2002
Q12013.75
median2016
Q32019
95-th percentile2022
Maximum2022
Range22
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation6.0764439
Coefficient of variation (CV)0.0030160362
Kurtosis0.092454507
Mean2014.7119
Median Absolute Deviation (MAD)3
Skewness-1.0522059
Sum950944
Variance36.923171
MonotonicityIncreasing
2023-12-12T15:31:30.937776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2017 46
9.7%
2015 45
9.5%
2014 44
9.3%
2018 43
9.1%
2016 43
9.1%
2022 37
 
7.8%
2020 35
 
7.4%
2021 32
 
6.8%
2019 29
 
6.1%
2011 18
 
3.8%
Other values (10) 100
21.2%
ValueCountFrequency (%)
2000 6
 
1.3%
2001 13
2.8%
2002 16
3.4%
2003 16
3.4%
2004 16
3.4%
2005 11
2.3%
2009 2
 
0.4%
2010 1
 
0.2%
2011 18
3.8%
2012 13
2.8%
ValueCountFrequency (%)
2022 37
7.8%
2021 32
6.8%
2020 35
7.4%
2019 29
6.1%
2018 43
9.1%
2017 46
9.7%
2016 43
9.1%
2015 45
9.5%
2014 44
9.3%
2013 6
 
1.3%

발행년도
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.7119
Minimum2000
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-12T15:31:31.083030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2002
Q12013.75
median2016
Q32019
95-th percentile2022
Maximum2022
Range22
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation6.0764439
Coefficient of variation (CV)0.0030160362
Kurtosis0.092454507
Mean2014.7119
Median Absolute Deviation (MAD)3
Skewness-1.0522059
Sum950944
Variance36.923171
MonotonicityIncreasing
2023-12-12T15:31:31.274937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2017 46
9.7%
2015 45
9.5%
2014 44
9.3%
2018 43
9.1%
2016 43
9.1%
2022 37
 
7.8%
2020 35
 
7.4%
2021 32
 
6.8%
2019 29
 
6.1%
2011 18
 
3.8%
Other values (10) 100
21.2%
ValueCountFrequency (%)
2000 6
 
1.3%
2001 13
2.8%
2002 16
3.4%
2003 16
3.4%
2004 16
3.4%
2005 11
2.3%
2009 2
 
0.4%
2010 1
 
0.2%
2011 18
3.8%
2012 13
2.8%
ValueCountFrequency (%)
2022 37
7.8%
2021 32
6.8%
2020 35
7.4%
2019 29
6.1%
2018 43
9.1%
2017 46
9.7%
2016 43
9.1%
2015 45
9.5%
2014 44
9.3%
2013 6
 
1.3%

원문공개상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
공개
432 
비공개
 
40

Length

Max length3
Median length2
Mean length2.0847458
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 432
91.5%
비공개 40
 
8.5%

Length

2023-12-12T15:31:31.428946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:31:31.577371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 432
91.5%
비공개 40
 
8.5%

Interactions

2023-12-12T15:31:27.757349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:27.114296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:27.412790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:27.897534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:27.222047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:27.529300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:28.020961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:27.320882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:31:27.639013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:31:31.656480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업년도발행년도원문공개상태
순번1.0000.9090.9090.323
사업년도0.9091.0001.0000.241
발행년도0.9091.0001.0000.241
원문공개상태0.3230.2410.2411.000
2023-12-12T15:31:31.786896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업년도발행년도원문공개상태
순번1.0000.9970.9970.245
사업년도0.9971.0001.0000.242
발행년도0.9971.0001.0000.242
원문공개상태0.2450.2420.2421.000

Missing values

2023-12-12T15:31:28.171368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:31:28.323136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번기관과제명연구수행기관사업년도발행년도원문공개상태
01방송통신위원회위성탑재용 멀티빔 형성 신호처리 기술 연구(사)한국전자파학회20002000공개
12방송통신위원회준마이크로대역 실내 전파특성 모델개발에 관한 연구(2차년도)(사)한국전자파학회20002000공개
23방송통신위원회전자파장해 및 내성관련 국제규격 연구(사)한국전자파학회20002000공개
34방송통신위원회준마이크로대 RFIC 일체형 패치안테나 설계 및 제작에 관한 연구(2차년도)경희대학교20002000공개
45방송통신위원회IMT-2000 기술기준 및 시험방법 연구(사)한국통신학회20002000공개
56방송통신위원회광대역 CDMA를 위한 실시간 채널 시뮬레이터 개발(1차년도)(사)한국통신학회20002000공개
67방송통신위원회UWB(Ultra Wide Band) 기술동향 연구(사)한국전자파학회20012001공개
78방송통신위원회고정위성업무를 위한 비정지 위성시스템과의 주파수 공유 연구(WRC-2003 의제1.29)통신우주위성산업연구회20012001공개
89방송통신위원회수동업무 보호를 위한 불요발사 제한기준 연구(사)한국통신학회20012001공개
910방송통신위원회5GHz대역 무선접속망 연구(5GHz대역 주파수이용 연구전담반 운영)한국전파진흥협회20012001공개
순번기관과제명연구수행기관사업년도발행년도원문공개상태
462463방송통신위원회(가칭) 장애인미디어접근 기본법 입법안 연구(사)한국법정책학회20222022공개
463464방송통신위원회방송법·인터넷방송법 금지행위 및 방송분쟁조정 제도 개선 방안 연구정보통신정책연구원20222022공개
464465방송통신위원회방송통신 정책홍보 및 대외메시지 전략 개발에 관한 연구디지털산업정책연구소20222022공개
465466방송통신위원회방송통신발전기금 분담금 제도개선에 관한 연구미디어미래연구소20222022비공개
466467방송통신위원회미디어환경 변화를 고려한 소유겸영 규제 개선 정책방안 연구법무법인 세종20222022공개
467468방송통신위원회해외 공영방송에 대한 규제정책 및 동향분석(사)한국언론학회20222022공개
468469방송통신위원회포털 뉴스 서비스의 신뢰성·투명성 제고 방안 연구(사)정보통신법포럼20222022비공개
469470방송통신위원회미디어 융합환경에 부합하는 콘텐츠 내용 규제(심의) 모델 연구(사)미디어미래연구소20222022공개
470471방송통신위원회국내 OTT 플랫폼 해외시장 진출 지원정책 방안(사)한국언론학회20222022공개
471472방송통신위원회지상파 중간광고 허용에 따른 시청자 영향평가정보통신정책연구원20222022공개