Overview

Dataset statistics

Number of variables3
Number of observations182
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory25.7 B

Variable types

Numeric1
Text2

Dataset

Description공증업무 처리시 매년 상/하반기 공증업무 처리현황 집계에 사용하는 재외공관 현황 목록을 제공(국가명, 재외공관명)
Author법무부
URLhttps://www.data.go.kr/data/15103376/fileData.do

Alerts

번호 has unique valuesUnique
재외공관 명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:31:51.825138
Analysis finished2023-12-12 02:31:52.265727
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.5
Minimum1
Maximum182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T11:31:52.370216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.05
Q146.25
median91.5
Q3136.75
95-th percentile172.95
Maximum182
Range181
Interquartile range (IQR)90.5

Descriptive statistics

Standard deviation52.683014
Coefficient of variation (CV)0.57577065
Kurtosis-1.2
Mean91.5
Median Absolute Deviation (MAD)45.5
Skewness0
Sum16653
Variance2775.5
MonotonicityStrictly increasing
2023-12-12T11:31:52.583622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
116 1
 
0.5%
118 1
 
0.5%
119 1
 
0.5%
120 1
 
0.5%
121 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
Other values (172) 172
94.5%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%
178 1
0.5%
177 1
0.5%
176 1
0.5%
175 1
0.5%
174 1
0.5%
173 1
0.5%

국가명
Text

Distinct120
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T11:31:53.040613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.4615385
Min length2

Characters and Unicode

Total characters630
Distinct characters146
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)53.3%

Sample

1st row가나
2nd row가봉
3rd row과테말라
4th row교황청
5th row그리스
ValueCountFrequency (%)
미국 14
 
7.7%
중국 10
 
5.5%
일본 10
 
5.5%
러시아 5
 
2.7%
캐나다 4
 
2.2%
독일 4
 
2.2%
오스트레일리아 3
 
1.6%
베트남 3
 
1.6%
스페인 3
 
1.6%
인도 3
 
1.6%
Other values (110) 123
67.6%
2023-12-12T11:31:53.621298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 44
 
7.0%
국 29
 
4.6%
스 28
 
4.4%
리 22
 
3.5%
이 20
 
3.2%
미 18
 
2.9%
일 18
 
2.9%
라 18
 
2.9%
르 16
 
2.5%
트 14
 
2.2%
Other values (136) 403
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 630
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 44
 
7.0%
국 29
 
4.6%
스 28
 
4.4%
리 22
 
3.5%
이 20
 
3.2%
미 18
 
2.9%
일 18
 
2.9%
라 18
 
2.9%
르 16
 
2.5%
트 14
 
2.2%
Other values (136) 403
64.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 630
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 44
 
7.0%
국 29
 
4.6%
스 28
 
4.4%
리 22
 
3.5%
이 20
 
3.2%
미 18
 
2.9%
일 18
 
2.9%
라 18
 
2.9%
르 16
 
2.5%
트 14
 
2.2%
Other values (136) 403
64.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 630
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 44
 
7.0%
국 29
 
4.6%
스 28
 
4.4%
리 22
 
3.5%
이 20
 
3.2%
미 18
 
2.9%
일 18
 
2.9%
라 18
 
2.9%
르 16
 
2.5%
트 14
 
2.2%
Other values (136) 403
64.0%

재외공관 명
Text

UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T11:31:53.946672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.8351648
Min length3

Characters and Unicode

Total characters1244
Distinct characters213
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)100.0%

Sample

1st row가나대사관
2nd row가봉대사관
3rd row과테말라대사관
4th row교황청대사관
5th row그리스대사관
ValueCountFrequency (%)
가나대사관 1
 
0.5%
발리분관 1
 
0.5%
고베총영사관 1
 
0.5%
나고야총영사관 1
 
0.5%
니가타총영사관 1
 
0.5%
삿포로총영사관 1
 
0.5%
센다이총영사관 1
 
0.5%
오사카총영사관 1
 
0.5%
요코하마총영사관 1
 
0.5%
일본대사관 1
 
0.5%
Other values (172) 172
94.5%
2023-12-12T11:31:54.408533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 174
 
14.0%
사 166
 
13.3%
대 117
 
9.4%
영 47
 
3.8%
총 45
 
3.6%
스 35
 
2.8%
아 32
 
2.6%
이 24
 
1.9%
라 22
 
1.8%
르 22
 
1.8%
Other values (203) 560
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1244
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 174
 
14.0%
사 166
 
13.3%
대 117
 
9.4%
영 47
 
3.8%
총 45
 
3.6%
스 35
 
2.8%
아 32
 
2.6%
이 24
 
1.9%
라 22
 
1.8%
르 22
 
1.8%
Other values (203) 560
45.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1244
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 174
 
14.0%
사 166
 
13.3%
대 117
 
9.4%
영 47
 
3.8%
총 45
 
3.6%
스 35
 
2.8%
아 32
 
2.6%
이 24
 
1.9%
라 22
 
1.8%
르 22
 
1.8%
Other values (203) 560
45.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1244
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 174
 
14.0%
사 166
 
13.3%
대 117
 
9.4%
영 47
 
3.8%
총 45
 
3.6%
스 35
 
2.8%
아 32
 
2.6%
이 24
 
1.9%
라 22
 
1.8%
르 22
 
1.8%
Other values (203) 560
45.0%

Interactions

2023-12-12T11:31:52.023423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T11:31:52.146177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:31:52.224213image/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

번호국가명재외공관 명
01가나가나대사관
12가봉가봉대사관
23과테말라과테말라대사관
34교황청교황청대사관
45그리스그리스대사관
56나이지리아나이지리아대사관
67나이지리아라고스분관
78남아프리카공화국남아프리카공화국대사관
89네덜란드네덜란드대사관
910네팔네팔대사관
번호국가명재외공관 명
172173파푸아뉴기니파푸아뉴기니대사관
173174페루페루대사관
174175포르투갈포르투갈대사관
175176폴란드폴란드대사관
176177프랑스프랑스대사관
177178피지피지대사관
178179핀란드핀란드대사관
179180필리핀세부분관
180181필리핀필리핀대사관
181182헝가리헝가리대사관