Overview

Dataset statistics

Number of variables4
Number of observations529
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.2 KiB
Average record size in memory33.2 B

Variable types

Numeric1
Categorical1
Text1
DateTime1

Dataset

Description한국지식재산연구원 지식재산관련 IP Focus, IP Stats, IP Report, Global IP Trend, World IP Review 등 간행물 자료 입니다.
URLhttps://www.data.go.kr/data/15090430/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:35:21.942596
Analysis finished2023-12-11 23:35:22.491102
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct529
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean265
Minimum1
Maximum529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T08:35:22.586188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.4
Q1133
median265
Q3397
95-th percentile502.6
Maximum529
Range528
Interquartile range (IQR)264

Descriptive statistics

Standard deviation152.85342
Coefficient of variation (CV)0.57680534
Kurtosis-1.2
Mean265
Median Absolute Deviation (MAD)132
Skewness0
Sum140185
Variance23364.167
MonotonicityStrictly increasing
2023-12-12T08:35:22.736928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
349 1
 
0.2%
363 1
 
0.2%
362 1
 
0.2%
361 1
 
0.2%
360 1
 
0.2%
359 1
 
0.2%
358 1
 
0.2%
357 1
 
0.2%
356 1
 
0.2%
Other values (519) 519
98.1%
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 (%)
529 1
0.2%
528 1
0.2%
527 1
0.2%
526 1
0.2%
525 1
0.2%
524 1
0.2%
523 1
0.2%
522 1
0.2%
521 1
0.2%
520 1
0.2%

구분
Categorical

Distinct7
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
National IP Policy
261 
ISSUE PAPER
168 
지식재산정책
42 
특허통계
 
22
Global IP Trend
 
14
Other values (2)
 
22

Length

Max length18
Median length16
Mean length13.867675
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGlobal IP Trend
2nd row지식재산정책
3rd rowGlobal IP Trend
4th rowNational IP Policy
5th rowNational IP Policy

Common Values

ValueCountFrequency (%)
National IP Policy 261
49.3%
ISSUE PAPER 168
31.8%
지식재산정책 42
 
7.9%
특허통계 22
 
4.2%
Global IP Trend 14
 
2.6%
IP Stats 14
 
2.6%
국가별 연간 지식재산 정책분석 8
 
1.5%

Length

2023-12-12T08:35:22.878433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:23.012361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ip 289
22.5%
national 261
20.3%
policy 261
20.3%
issue 168
13.1%
paper 168
13.1%
지식재산정책 42
 
3.3%
특허통계 22
 
1.7%
global 14
 
1.1%
trend 14
 
1.1%
stats 14
 
1.1%
Other values (4) 32
 
2.5%

제목
Text

Distinct523
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T08:35:23.503401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length51
Mean length26.164461
Min length8

Characters and Unicode

Total characters13841
Distinct characters432
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique518 ?
Unique (%)97.9%

Sample

1st rowGlobal IP Trend 2008
2nd rowIP Policy 지식재산정책 제1호
3rd rowGlobal IP Trend 2009
4th row중국 상표전략에 대한 연례 발전보고서 2008
5th row「지식재산추진계획2008」의 실시현황에 대한 평가 (일본별책)
ValueCountFrequency (%)
및 90
 
2.9%
ip 83
 
2.7%
지식재산 74
 
2.4%
중국 62
 
2.0%
미국 61
 
2.0%
지식재산권 53
 
1.7%
보고서 51
 
1.7%
일본 50
 
1.6%
46
 
1.5%
시사점 45
 
1.5%
Other values (1295) 2475
80.1%
2023-12-12T08:35:24.157067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2608
 
18.8%
지 362
 
2.6%
2 318
 
2.3%
산 300
 
2.2%
재 276
 
2.0%
0 255
 
1.8%
식 245
 
1.8%
의 243
 
1.8%
국 230
 
1.7%
1 220
 
1.6%
Other values (422) 8784
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8381
60.6%
Space Separator 2608
 
18.8%
Decimal Number 1041
 
7.5%
Uppercase Letter 575
 
4.2%
Lowercase Letter 518
 
3.7%
Close Punctuation 264
 
1.9%
Open Punctuation 264
 
1.9%
Other Punctuation 94
 
0.7%
Dash Punctuation 56
 
0.4%
Letter Number 26
 
0.2%
Other values (4) 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 362
 
4.3%
산 300
 
3.6%
재 276
 
3.3%
식 245
 
2.9%
의 243
 
2.9%
국 230
 
2.7%
제 169
 
2.0%
보 164
 
2.0%
정 121
 
1.4%
중 119
 
1.4%
Other values (348) 6152
73.4%
Uppercase Letter
ValueCountFrequency (%)
P 178
31.0%
I 140
24.3%
T 34
 
5.9%
S 30
 
5.2%
O 28
 
4.9%
G 21
 
3.7%
C 21
 
3.7%
A 20
 
3.5%
E 19
 
3.3%
V 14
 
2.4%
Other values (13) 70
 
12.2%
Lowercase Letter
ValueCountFrequency (%)
l 88
17.0%
o 75
14.5%
i 51
9.8%
c 46
8.9%
y 44
8.5%
t 43
8.3%
a 37
7.1%
s 28
 
5.4%
e 23
 
4.4%
r 19
 
3.7%
Other values (10) 64
12.4%
Decimal Number
ValueCountFrequency (%)
2 318
30.5%
0 255
24.5%
1 220
21.1%
3 81
 
7.8%
4 35
 
3.4%
5 35
 
3.4%
9 28
 
2.7%
8 27
 
2.6%
7 23
 
2.2%
6 19
 
1.8%
Other Punctuation
ValueCountFrequency (%)
: 33
35.1%
, 20
21.3%
· 17
18.1%
. 16
17.0%
' 4
 
4.3%
& 4
 
4.3%
Close Punctuation
ValueCountFrequency (%)
] 164
62.1%
) 92
34.8%
」 8
 
3.0%
Open Punctuation
ValueCountFrequency (%)
[ 164
62.1%
( 92
34.8%
「 8
 
3.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 12
46.2%
Ⅱ 12
46.2%
Ⅲ 2
 
7.7%
Space Separator
ValueCountFrequency (%)
2608
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8378
60.5%
Common 4341
31.4%
Latin 1119
 
8.1%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 362
 
4.3%
산 300
 
3.6%
재 276
 
3.3%
식 245
 
2.9%
의 243
 
2.9%
국 230
 
2.7%
제 169
 
2.0%
보 164
 
2.0%
정 121
 
1.4%
중 119
 
1.4%
Other values (345) 6149
73.4%
Latin
ValueCountFrequency (%)
P 178
15.9%
I 140
 
12.5%
l 88
 
7.9%
o 75
 
6.7%
i 51
 
4.6%
c 46
 
4.1%
y 44
 
3.9%
t 43
 
3.8%
a 37
 
3.3%
T 34
 
3.0%
Other values (36) 383
34.2%
Common
ValueCountFrequency (%)
2608
60.1%
2 318
 
7.3%
0 255
 
5.9%
1 220
 
5.1%
] 164
 
3.8%
[ 164
 
3.8%
( 92
 
2.1%
) 92
 
2.1%
3 81
 
1.9%
- 56
 
1.3%
Other values (18) 291
 
6.7%
Han
ValueCountFrequency (%)
下 1
33.3%
上 1
33.3%
中 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8373
60.5%
ASCII 5391
38.9%
None 33
 
0.2%
Number Forms 26
 
0.2%
Punctuation 10
 
0.1%
Compat Jamo 5
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2608
48.4%
2 318
 
5.9%
0 255
 
4.7%
1 220
 
4.1%
P 178
 
3.3%
] 164
 
3.0%
[ 164
 
3.0%
I 140
 
2.6%
( 92
 
1.7%
) 92
 
1.7%
Other values (56) 1160
21.5%
Hangul
ValueCountFrequency (%)
지 362
 
4.3%
산 300
 
3.6%
재 276
 
3.3%
식 245
 
2.9%
의 243
 
2.9%
국 230
 
2.7%
제 169
 
2.0%
보 164
 
2.0%
정 121
 
1.4%
중 119
 
1.4%
Other values (344) 6144
73.4%
None
ValueCountFrequency (%)
· 17
51.5%
」 8
24.2%
「 8
24.2%
Number Forms
ValueCountFrequency (%)
Ⅰ 12
46.2%
Ⅱ 12
46.2%
Ⅲ 2
 
7.7%
Punctuation
ValueCountFrequency (%)
’ 9
90.0%
‘ 1
 
10.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
CJK
ValueCountFrequency (%)
下 1
33.3%
上 1
33.3%
中 1
33.3%

발행일
Date

Distinct341
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum2008-12-24 00:00:00
Maximum2023-07-05 00:00:00
2023-12-12T08:35:24.339136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:35:24.505388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T08:35:22.226596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:35:24.584902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분
번호1.0000.546
구분0.5461.000
2023-12-12T08:35:24.695481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분
번호1.0000.314
구분0.3141.000

Missing values

2023-12-12T08:35:22.360826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:35:22.446782image/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

번호구분제목발행일
01Global IP TrendGlobal IP Trend 20082008-12-24
12지식재산정책IP Policy 지식재산정책 제1호2009-11-01
23Global IP TrendGlobal IP Trend 20092009-12-30
34National IP Policy중국 상표전략에 대한 연례 발전보고서 20082009-12-31
45National IP Policy「지식재산추진계획2008」의 실시현황에 대한 평가 (일본별책)2009-12-31
56National IP Policy지식재산전략의 진행상황 (일본2)2009-12-31
67National IP Policy지식재산추진계획 2009 (일본1)2009-12-31
78National IP Policy미국의 혁신을 위한 전략 & UNEP 기후변화전략2009-12-31
89지식재산정책IP Policy 지식재산정책 제2호2010-03-01
910지식재산정책IP Policy 지식재산정책 제3호2010-06-01
번호구분제목발행일
519520특허통계WIPO '23년 마드리드 연례보고서 (2023-13호)2023-06-26
520521특허통계WIPO '23년 헤이그 연례보고서 (2023-12호)2023-06-26
521522특허통계JPO '22년 특허 출원 기술 동향 조사 (2023-11호)2023-06-26
522523특허통계WIPO 특허현황보고서_코로나19 관련 백신 및 치료제 (2023-10호)2023-06-26
523524특허통계JPO STATUS REPORT 2023 (2023-9호)2023-06-26
524525ISSUE PAPER주요국 여성발명 현황과 국내 여성발명 활성화 방안2023-06-28
525526ISSUE PAPER기업의 기술 도입 및 활용에 영향을 미치는 요인 분석2023-06-30
526527IP StatsIP Stats Vol.14 (산업 IP Stats : 인공지능 기술의 특허활동 분석 등)2023-06-30
527528특허통계지식재산 통계 월보 2023년 05월2023-07-05
528529ISSUE PAPER상표 보유가 생산과 고용에 미치는 영향2023-07-05