Overview

Dataset statistics

Number of variables6
Number of observations783
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.6 KiB
Average record size in memory49.2 B

Variable types

Numeric1
Categorical4
DateTime1

Dataset

Description대국민이 한국지식재산보호원 공익변리사특허상담센터의 홈페이지를 이용하여 온라인상담을 신청한 연간 통계 데이터.
Author한국지식재산보호원
URLhttps://www.data.go.kr/data/15093648/fileData.do

Alerts

고유번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:45:23.238652
Analysis finished2023-12-12 22:45:23.680172
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유번호
Real number (ℝ)

UNIQUE 

Distinct783
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11046.167
Minimum10636
Maximum11448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-13T07:45:23.738255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10636
5-th percentile10676.1
Q110849.5
median11046
Q311248.5
95-th percentile11408.9
Maximum11448
Range812
Interquartile range (IQR)399

Descriptive statistics

Standard deviation233.93446
Coefficient of variation (CV)0.021177885
Kurtosis-1.1739072
Mean11046.167
Median Absolute Deviation (MAD)199
Skewness-0.019872161
Sum8649149
Variance54725.334
MonotonicityNot monotonic
2023-12-13T07:45:23.852854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11033 1
 
0.1%
11216 1
 
0.1%
11330 1
 
0.1%
11335 1
 
0.1%
10882 1
 
0.1%
11361 1
 
0.1%
11108 1
 
0.1%
10977 1
 
0.1%
10846 1
 
0.1%
10861 1
 
0.1%
Other values (773) 773
98.7%
ValueCountFrequency (%)
10636 1
0.1%
10637 1
0.1%
10638 1
0.1%
10639 1
0.1%
10640 1
0.1%
10641 1
0.1%
10642 1
0.1%
10643 1
0.1%
10644 1
0.1%
10645 1
0.1%
ValueCountFrequency (%)
11448 1
0.1%
11447 1
0.1%
11446 1
0.1%
11445 1
0.1%
11444 1
0.1%
11443 1
0.1%
11442 1
0.1%
11441 1
0.1%
11440 1
0.1%
11439 1
0.1%

구분번호
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
출원
468 
기타
172 
분쟁
127 
중간사건
 
16

Length

Max length4
Median length2
Mean length2.0408685
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출원 468
59.8%
기타 172
 
22.0%
분쟁 127
 
16.2%
중간사건 16
 
2.0%

Length

2023-12-13T07:45:23.964375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:45:24.050890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출원 468
59.8%
기타 172
 
22.0%
분쟁 127
 
16.2%
중간사건 16
 
2.0%

상담분야번호
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
상표
328 
디자인
147 
기타
138 
특허/실용(기계,건설분야)
93 
특허/실용(전기,전자분야)
45 

Length

Max length14
Median length2
Mean length4.7931034
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상표 328
41.9%
디자인 147
18.8%
기타 138
17.6%
특허/실용(기계,건설분야) 93
 
11.9%
특허/실용(전기,전자분야) 45
 
5.7%
특허/실용(화학,생명분야) 32
 
4.1%

Length

2023-12-13T07:45:24.141923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:45:24.248010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상표 328
41.9%
디자인 147
18.8%
기타 138
17.6%
특허/실용(기계,건설분야 93
 
11.9%
특허/실용(전기,전자분야 45
 
5.7%
특허/실용(화학,생명분야 32
 
4.1%

지역번호
Categorical

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
서울
334 
경기도
211 
경상도
104 
충청도
77 
전라도
41 
Other values (2)
 
16

Length

Max length3
Median length3
Mean length2.5734355
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상도
2nd row서울
3rd row서울
4th row서울
5th row서울

Common Values

ValueCountFrequency (%)
서울 334
42.7%
경기도 211
26.9%
경상도 104
 
13.3%
충청도 77
 
9.8%
전라도 41
 
5.2%
강원도 10
 
1.3%
제주도 6
 
0.8%

Length

2023-12-13T07:45:24.349528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:45:24.439546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울 334
42.7%
경기도 211
26.9%
경상도 104
 
13.3%
충청도 77
 
9.8%
전라도 41
 
5.2%
강원도 10
 
1.3%
제주도 6
 
0.8%

신청자격번호
Categorical

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
소기업
340 
차상위계층차상위계층
227 
학생
120 
등록자애인
 
25
만1특수임무유공자 관련세미만
 
23
Other values (3)
48 

Length

Max length15
Median length10
Mean length5.5223499
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row차상위계층차상위계층
2nd row학생
3rd row차상위계층차상위계층
4th row등록자애인
5th row소기업

Common Values

ValueCountFrequency (%)
소기업 340
43.4%
차상위계층차상위계층 227
29.0%
학생 120
 
15.3%
등록자애인 25
 
3.2%
만1특수임무유공자 관련세미만 23
 
2.9%
국가유공자 관련 20
 
2.6%
차상위계층 16
 
2.0%
차상위계층오류 12
 
1.5%

Length

2023-12-13T07:45:24.852153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:45:24.966592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소기업 340
41.2%
차상위계층차상위계층 227
27.5%
학생 120
 
14.5%
등록자애인 25
 
3.0%
만1특수임무유공자 23
 
2.8%
관련세미만 23
 
2.8%
국가유공자 20
 
2.4%
관련 20
 
2.4%
차상위계층 16
 
1.9%
차상위계층오류 12
 
1.5%

작성일자
Date

Distinct283
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2020-01-02 00:00:00
Maximum2020-12-30 00:00:00
2023-12-13T07:45:25.089972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:45:25.260984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T07:45:23.460682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:45:25.353594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호구분번호상담분야번호지역번호신청자격번호
고유번호1.0000.0000.2490.1380.135
구분번호0.0001.0000.2130.0970.513
상담분야번호0.2490.2131.0000.0900.352
지역번호0.1380.0970.0901.0000.154
신청자격번호0.1350.5130.3520.1541.000
2023-12-13T07:45:25.489363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역번호신청자격번호상담분야번호구분번호
지역번호1.0000.0820.0530.066
신청자격번호0.0821.0000.2040.248
상담분야번호0.0530.2041.0000.139
구분번호0.0660.2480.1391.000
2023-12-13T07:45:25.617727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호구분번호상담분야번호지역번호신청자격번호
고유번호1.0000.0000.1320.0690.064
구분번호0.0001.0000.1390.0660.248
상담분야번호0.1320.1391.0000.0530.204
지역번호0.0690.0660.0531.0000.082
신청자격번호0.0640.2480.2040.0821.000

Missing values

2023-12-13T07:45:23.568850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:45:23.648070image/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

고유번호구분번호상담분야번호지역번호신청자격번호작성일자
011033기타기타경상도차상위계층차상위계층2020-06-28
111256기타기타서울학생2020-10-15
210843기타기타서울차상위계층차상위계층2020-04-19
310652기타기타서울등록자애인2020-01-13
411131기타기타서울소기업2020-08-13
511230기타기타경기도소기업2020-12-21
611427기타기타경상도차상위계층차상위계층2020-10-05
710961기타기타경기도차상위계층차상위계층2020-05-28
811010기타기타서울학생2020-06-16
910778기타기타서울차상위계층차상위계층2020-03-20
고유번호구분번호상담분야번호지역번호신청자격번호작성일자
77311265출원특허/실용(화학,생명분야)서울학생2020-10-18
77410866출원특허/실용(화학,생명분야)충청도차상위계층차상위계층2020-04-27
77510713출원특허/실용(화학,생명분야)서울소기업2020-02-26
77611049출원특허/실용(화학,생명분야)충청도소기업2020-07-03
77710679출원특허/실용(화학,생명분야)서울소기업2020-01-31
77811145출원특허/실용(화학,생명분야)서울소기업2020-08-25
77911167출원특허/실용(화학,생명분야)경기도소기업2020-09-02
78011187출원특허/실용(화학,생명분야)경기도국가유공자 관련2020-11-07
78111055출원특허/실용(화학,생명분야)서울학생2020-07-07
78210835출원특허/실용(화학,생명분야)경기도국가유공자 관련2020-04-15