Overview

Dataset statistics

Number of variables4
Number of observations723
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.4 KiB
Average record size in memory33.2 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description변호사에게 필요한 직업윤리와 법률지식 등 법률사무를 수행할 수 있는 능력을 검정하기 위한 변호사시험의 고사장(학교) 정보를 제공
Author법무부
URLhttps://www.data.go.kr/data/15103570/fileData.do

Reproduction

Analysis started2023-12-12 17:15:58.808446
Analysis finished2023-12-12 17:15:59.197237
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct11
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.6999
Minimum2012
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T02:15:59.242740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12014
median2017
Q32019
95-th percentile2021
Maximum2022
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8493742
Coefficient of variation (CV)0.0014128896
Kurtosis-1.0649149
Mean2016.6999
Median Absolute Deviation (MAD)2
Skewness-0.030699006
Sum1458074
Variance8.1189335
MonotonicityIncreasing
2023-12-13T02:15:59.330820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2020 87
12.0%
2019 86
11.9%
2018 79
10.9%
2017 76
10.5%
2016 73
10.1%
2015 70
9.7%
2014 69
9.5%
2013 64
8.9%
2012 62
8.6%
2022 29
 
4.0%
ValueCountFrequency (%)
2012 62
8.6%
2013 64
8.9%
2014 69
9.5%
2015 70
9.7%
2016 73
10.1%
2017 76
10.5%
2018 79
10.9%
2019 86
11.9%
2020 87
12.0%
2021 28
 
3.9%
ValueCountFrequency (%)
2022 29
 
4.0%
2021 28
 
3.9%
2020 87
12.0%
2019 86
11.9%
2018 79
10.9%
2017 76
10.5%
2016 73
10.1%
2015 70
9.7%
2014 69
9.5%
2013 64
8.9%

고사장코드
Text

Distinct105
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-13T02:15:59.563933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters2892
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowA001
2nd rowA002
3rd rowA003
4th rowA004
5th rowA005
ValueCountFrequency (%)
b012 22
 
3.0%
c001 13
 
1.8%
a801 12
 
1.7%
b002 11
 
1.5%
b003 11
 
1.5%
b010 11
 
1.5%
b004 9
 
1.2%
b009 9
 
1.2%
b008 9
 
1.2%
b006 9
 
1.2%
Other values (95) 607
84.0%
2023-12-13T02:15:59.970528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 942
32.6%
A 518
17.9%
1 296
 
10.2%
2 208
 
7.2%
B 188
 
6.5%
3 185
 
6.4%
4 120
 
4.1%
7 112
 
3.9%
9 104
 
3.6%
5 73
 
2.5%
Other values (4) 146
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2169
75.0%
Uppercase Letter 723
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 942
43.4%
1 296
 
13.6%
2 208
 
9.6%
3 185
 
8.5%
4 120
 
5.5%
7 112
 
5.2%
9 104
 
4.8%
5 73
 
3.4%
6 66
 
3.0%
8 63
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
A 518
71.6%
B 188
 
26.0%
C 15
 
2.1%
D 2
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 2169
75.0%
Latin 723
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 942
43.4%
1 296
 
13.6%
2 208
 
9.6%
3 185
 
8.5%
4 120
 
5.5%
7 112
 
5.2%
9 104
 
4.8%
5 73
 
3.4%
6 66
 
3.0%
8 63
 
2.9%
Latin
ValueCountFrequency (%)
A 518
71.6%
B 188
 
26.0%
C 15
 
2.1%
D 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2892
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 942
32.6%
A 518
17.9%
1 296
 
10.2%
2 208
 
7.2%
B 188
 
6.5%
3 185
 
6.4%
4 120
 
4.1%
7 112
 
3.9%
9 104
 
3.6%
5 73
 
2.5%
Other values (4) 146
 
5.0%

고사장명
Text

Distinct108
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-13T02:16:00.207648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.7925311
Min length5

Characters and Unicode

Total characters5634
Distinct characters129
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row한양공업고등학교
2nd row성동고등학교
3rd row성수공업고등학교
4th row광양중학교
5th row광남중학교
ValueCountFrequency (%)
고려대학교 28
 
3.0%
연세대학교 27
 
2.9%
중앙대학교 27
 
2.9%
한양대학교 27
 
2.9%
법학관 18
 
1.9%
성수공업고등학교 18
 
1.9%
제주대학교 17
 
1.8%
우당교양관 13
 
1.4%
제1공학관 11
 
1.2%
고려대 11
 
1.2%
Other values (117) 735
78.9%
2023-12-13T02:16:00.555878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 763
 
13.5%
교 734
 
13.0%
대 362
 
6.4%
고 317
 
5.6%
등 278
 
4.9%
중 267
 
4.7%
218
 
3.9%
관 180
 
3.2%
공 118
 
2.1%
양 114
 
2.0%
Other values (119) 2283
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5374
95.4%
Space Separator 218
 
3.9%
Decimal Number 42
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 763
 
14.2%
교 734
 
13.7%
대 362
 
6.7%
고 317
 
5.9%
등 278
 
5.2%
중 267
 
5.0%
관 180
 
3.3%
공 118
 
2.2%
양 114
 
2.1%
업 98
 
1.8%
Other values (112) 2143
39.9%
Decimal Number
ValueCountFrequency (%)
1 15
35.7%
2 9
21.4%
0 8
19.0%
6 4
 
9.5%
4 4
 
9.5%
3 2
 
4.8%
Space Separator
ValueCountFrequency (%)
218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5374
95.4%
Common 260
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 763
 
14.2%
교 734
 
13.7%
대 362
 
6.7%
고 317
 
5.9%
등 278
 
5.2%
중 267
 
5.0%
관 180
 
3.3%
공 118
 
2.2%
양 114
 
2.1%
업 98
 
1.8%
Other values (112) 2143
39.9%
Common
ValueCountFrequency (%)
218
83.8%
1 15
 
5.8%
2 9
 
3.5%
0 8
 
3.1%
6 4
 
1.5%
4 4
 
1.5%
3 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5374
95.4%
ASCII 260
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 763
 
14.2%
교 734
 
13.7%
대 362
 
6.7%
고 317
 
5.9%
등 278
 
5.2%
중 267
 
5.0%
관 180
 
3.3%
공 118
 
2.2%
양 114
 
2.1%
업 98
 
1.8%
Other values (112) 2143
39.9%
ASCII
ValueCountFrequency (%)
218
83.8%
1 15
 
5.8%
2 9
 
3.5%
0 8
 
3.1%
6 4
 
1.5%
4 4
 
1.5%
3 2
 
0.8%

비고
Categorical

Distinct10
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
1차시험장
434 
2차시험장
142 
변호사시험 고사장
51 
<NA>
 
36
1차 시험장
 
24
Other values (5)
 
36

Length

Max length10
Median length5
Mean length5.2849239
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1차시험장
2nd row1차시험장
3rd row1차시험장
4th row1차시험장
5th row1차시험장

Common Values

ValueCountFrequency (%)
1차시험장 434
60.0%
2차시험장 142
 
19.6%
변호사시험 고사장 51
 
7.1%
<NA> 36
 
5.0%
1차 시험장 24
 
3.3%
변호사시험장 13
 
1.8%
3차시험장 9
 
1.2%
1시험장 9
 
1.2%
법조시험장 3
 
0.4%
법조윤리시험 고사장 2
 
0.3%

Length

2023-12-13T02:16:00.685143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:00.809490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1차시험장 434
54.2%
2차시험장 142
 
17.8%
고사장 53
 
6.6%
변호사시험 51
 
6.4%
na 36
 
4.5%
1차 24
 
3.0%
시험장 24
 
3.0%
변호사시험장 13
 
1.6%
3차시험장 9
 
1.1%
1시험장 9
 
1.1%
Other values (2) 5
 
0.6%

Interactions

2023-12-13T02:15:58.960062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:16:00.909075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도비고
연도1.0000.633
비고0.6331.000
2023-12-13T02:16:00.989124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도비고
연도1.0000.353
비고0.3531.000

Missing values

2023-12-13T02:15:59.097056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:15:59.168778image/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

연도고사장코드고사장명비고
02012A001한양공업고등학교1차시험장
12012A002성동고등학교1차시험장
22012A003성수공업고등학교1차시험장
32012A004광양중학교1차시험장
42012A005광남중학교1차시험장
52012A006영동고등학교1차시험장
62012A007서울고등학교1차시험장
72012A008서초고등학교1차시험장
82012A009대치중학교1차시험장
92012A010경기고등학교1차시험장
연도고사장코드고사장명비고
7132022B019한국외국어대학교 사회과학관변호사시험 고사장
7142022B020서강대학교 우당교양관변호사시험 고사장
7152022B021아주대학교 성호관변호사시험 고사장
7162022B022서울대학교 인문관6관변호사시험 고사장
7172022B023인하대학교 60주년기념관변호사시험 고사장
7182022B024서울시립대학교 100주년기념관변호사시험 고사장
7192022B025성균관대학교 국제관변호사시험 고사장
7202022B026이화여자대학교 이화포스코관변호사시험 고사장
7212022B027성균관대학교 퇴계인문관법조윤리시험 고사장
7222022A310동아대학교 종합강의동변호사시험 고사장