Overview

Dataset statistics

Number of variables12
Number of observations255
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.5 KiB
Average record size in memory98.5 B

Variable types

Text6
Categorical4
Numeric2

Dataset

Description국가별 재외공관(대사관, 총영사관, 분관 등) 정보를 제공합니다. - 국가별 공관의 위도/경도, 연락처 등 데이터를 CSV 파일로 제공
URLhttps://www.data.go.kr/data/15076569/fileData.do

Alerts

영사콜센터번호 has constant value ""Constant
무료전화번호 has constant value ""Constant
재외공관 유형 is highly imbalanced (63.3%)Imbalance

Reproduction

Analysis started2023-12-12 12:48:39.568777
Analysis finished2023-12-12 12:48:40.740179
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

국가명
Text

Distinct195
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T21:48:40.956112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length3.654902
Min length2

Characters and Unicode

Total characters932
Distinct characters181
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

Unique173 ?
Unique (%)67.8%

Sample

1st row가나
2nd row가봉
3rd row가이아나
4th row감비아
5th row과테말라
ValueCountFrequency (%)
미국 13
 
5.0%
중국 10
 
3.8%
일본 10
 
3.8%
러시아 5
 
1.9%
독일 4
 
1.5%
캐나다 4
 
1.5%
호주 3
 
1.2%
인도 3
 
1.2%
스페인 3
 
1.2%
베트남 3
 
1.2%
Other values (188) 202
77.7%
2023-12-12T21:48:41.376551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 65
 
7.0%
리 34
 
3.6%
스 31
 
3.3%
국 30
 
3.2%
이 27
 
2.9%
니 24
 
2.6%
라 23
 
2.5%
르 22
 
2.4%
나 20
 
2.1%
미 19
 
2.0%
Other values (171) 637
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 923
99.0%
Space Separator 5
 
0.5%
Uppercase Letter 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 65
 
7.0%
리 34
 
3.7%
스 31
 
3.4%
국 30
 
3.3%
이 27
 
2.9%
니 24
 
2.6%
라 23
 
2.5%
르 22
 
2.4%
나 20
 
2.2%
미 19
 
2.1%
Other values (166) 628
68.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
R 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 923
99.0%
Common 7
 
0.8%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 65
 
7.0%
리 34
 
3.7%
스 31
 
3.4%
국 30
 
3.3%
이 27
 
2.9%
니 24
 
2.6%
라 23
 
2.5%
르 22
 
2.4%
나 20
 
2.2%
미 19
 
2.1%
Other values (166) 628
68.0%
Common
ValueCountFrequency (%)
5
71.4%
( 1
 
14.3%
) 1
 
14.3%
Latin
ValueCountFrequency (%)
D 1
50.0%
R 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 923
99.0%
ASCII 9
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 65
 
7.0%
리 34
 
3.7%
스 31
 
3.4%
국 30
 
3.3%
이 27
 
2.9%
니 24
 
2.6%
라 23
 
2.5%
르 22
 
2.4%
나 20
 
2.2%
미 19
 
2.1%
Other values (166) 628
68.0%
ASCII
ValueCountFrequency (%)
5
55.6%
( 1
 
11.1%
D 1
 
11.1%
R 1
 
11.1%
) 1
 
11.1%

국가코드(ISO 2자리 코드)
Text

Distinct194
Distinct (%)76.4%
Missing1
Missing (%)0.4%
Memory size2.1 KiB
2023-12-12T21:48:41.727304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters508
Distinct characters26
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

Unique172 ?
Unique (%)67.7%

Sample

1st rowGH
2nd rowGA
3rd rowGY
4th rowGM
5th rowGT
ValueCountFrequency (%)
us 13
 
5.1%
cn 10
 
3.9%
jp 10
 
3.9%
ru 5
 
2.0%
de 4
 
1.6%
ca 4
 
1.6%
au 3
 
1.2%
in 3
 
1.2%
es 3
 
1.2%
vn 3
 
1.2%
Other values (184) 196
77.2%
2023-12-12T21:48:42.189676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 41
 
8.1%
N 34
 
6.7%
C 33
 
6.5%
U 31
 
6.1%
M 30
 
5.9%
A 28
 
5.5%
T 26
 
5.1%
E 25
 
4.9%
G 24
 
4.7%
R 23
 
4.5%
Other values (16) 213
41.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 508
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 41
 
8.1%
N 34
 
6.7%
C 33
 
6.5%
U 31
 
6.1%
M 30
 
5.9%
A 28
 
5.5%
T 26
 
5.1%
E 25
 
4.9%
G 24
 
4.7%
R 23
 
4.5%
Other values (16) 213
41.9%

Most occurring scripts

ValueCountFrequency (%)
Latin 508
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 41
 
8.1%
N 34
 
6.7%
C 33
 
6.5%
U 31
 
6.1%
M 30
 
5.9%
A 28
 
5.5%
T 26
 
5.1%
E 25
 
4.9%
G 24
 
4.7%
R 23
 
4.5%
Other values (16) 213
41.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 508
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 41
 
8.1%
N 34
 
6.7%
C 33
 
6.5%
U 31
 
6.1%
M 30
 
5.9%
A 28
 
5.5%
T 26
 
5.1%
E 25
 
4.9%
G 24
 
4.7%
R 23
 
4.5%
Other values (16) 213
41.9%

겸임(관할)
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
일반
179 
겸임
73 
관할
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반
2nd row일반
3rd row겸임
4th row겸임
5th row일반

Common Values

ValueCountFrequency (%)
일반 179
70.2%
겸임 73
28.6%
관할 3
 
1.2%

Length

2023-12-12T21:48:42.325621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:48:42.415687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 179
70.2%
겸임 73
28.6%
관할 3
 
1.2%

재외공관 유형
Categorical

IMBALANCE 

Distinct12
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
대사관
188 
총영사관
45 
분관
 
8
출장소
 
3
대사관 겸 주 빈 국제기구대표부
 
3
Other values (7)
 
8

Length

Max length19
Median length3
Mean length3.5490196
Min length2

Unique

Unique6 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
대사관 188
73.7%
총영사관 45
 
17.6%
분관 8
 
3.1%
출장소 3
 
1.2%
대사관 겸 주 빈 국제기구대표부 3
 
1.2%
총영사관 댈러스 출장소 2
 
0.8%
대사관 본분관 1
 
0.4%
대사관(주킹스턴분관) 1
 
0.4%
대사관 말라보 분관 1
 
0.4%
대사관 트빌리시 분관 1
 
0.4%
Other values (2) 2
 
0.8%

Length

2023-12-12T21:48:42.544310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대사관 194
69.8%
총영사관 48
 
17.3%
분관 10
 
3.6%
출장소 5
 
1.8%
겸 4
 
1.4%
주 3
 
1.1%
빈 3
 
1.1%
국제기구대표부 3
 
1.1%
댈러스 2
 
0.7%
본분관 1
 
0.4%
Other values (5) 5
 
1.8%

재외공관명
Text

Distinct179
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T21:48:42.820165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length30
Mean length15.623529
Min length12

Characters and Unicode

Total characters3984
Distinct characters219
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)52.9%

Sample

1st row주 가나 대한민국 대사관
2nd row주 가봉 대한민국 대사관
3rd row주 베네수엘라 대한민국 대사관
4th row주 세네갈 대한민국 대사관
5th row주 과테말라 대한민국 대사관
ValueCountFrequency (%)
주 258
24.6%
대한민국 255
24.3%
대사관 195
18.6%
총영사관 48
 
4.6%
분관 10
 
1.0%
피지 6
 
0.6%
도미니카공화국 6
 
0.6%
세네갈 6
 
0.6%
트리니다드토바고 5
 
0.5%
뉴질랜드 5
 
0.5%
Other values (185) 254
24.2%
2023-12-12T21:48:43.310027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
793
19.9%
대 456
11.4%
국 285
 
7.2%
주 263
 
6.6%
민 259
 
6.5%
관 256
 
6.4%
한 256
 
6.4%
사 247
 
6.2%
아 51
 
1.3%
영 49
 
1.2%
Other values (209) 1069
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3189
80.0%
Space Separator 793
 
19.9%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 456
14.3%
국 285
 
8.9%
주 263
 
8.2%
민 259
 
8.1%
관 256
 
8.0%
한 256
 
8.0%
사 247
 
7.7%
아 51
 
1.6%
영 49
 
1.5%
총 48
 
1.5%
Other values (206) 1019
32.0%
Space Separator
ValueCountFrequency (%)
793
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3189
80.0%
Common 795
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 456
14.3%
국 285
 
8.9%
주 263
 
8.2%
민 259
 
8.1%
관 256
 
8.0%
한 256
 
8.0%
사 247
 
7.7%
아 51
 
1.6%
영 49
 
1.5%
총 48
 
1.5%
Other values (206) 1019
32.0%
Common
ValueCountFrequency (%)
793
99.7%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3189
80.0%
ASCII 795
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
793
99.7%
( 1
 
0.1%
) 1
 
0.1%
Hangul
ValueCountFrequency (%)
대 456
14.3%
국 285
 
8.9%
주 263
 
8.2%
민 259
 
8.1%
관 256
 
8.0%
한 256
 
8.0%
사 247
 
7.7%
아 51
 
1.6%
영 49
 
1.5%
총 48
 
1.5%
Other values (206) 1019
32.0%

재외공관 위도
Real number (ℝ)

Distinct179
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.533481
Minimum-41.28572
Maximum61.142386
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)19.2%
Memory size2.4 KiB
2023-12-12T21:48:43.492634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-41.28572
5-th percentile-25.828647
Q15.453741
median23.604299
Q341.552967
95-th percentile53.396083
Maximum61.142386
Range102.42811
Interquartile range (IQR)36.099226

Descriptive statistics

Standard deviation25.421811
Coefficient of variation (CV)1.2380663
Kurtosis-0.41592073
Mean20.533481
Median Absolute Deviation (MAD)18.105682
Skewness-0.58523467
Sum5236.0377
Variance646.26847
MonotonicityNot monotonic
2023-12-12T21:48:43.660760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.695506 6
 
2.4%
-18.140068 6
 
2.4%
18.45281 6
 
2.4%
-41.28572 5
 
2.0%
10.669715 5
 
2.0%
-25.773293 4
 
1.6%
5.575495 3
 
1.2%
-9.476991 3
 
1.2%
3.896586103 3
 
1.2%
9.051879 3
 
1.2%
Other values (169) 211
82.7%
ValueCountFrequency (%)
-41.28572 5
2.0%
-37.854733 1
 
0.4%
-36.853372 1
 
0.4%
-35.30982 1
 
0.4%
-34.904111 1
 
0.4%
-34.579598 1
 
0.4%
-33.870306 1
 
0.4%
-33.415794 1
 
0.4%
-25.957806 1
 
0.4%
-25.773293 4
1.6%
ValueCountFrequency (%)
61.142386 1
0.4%
60.1648551 2
0.8%
59.939155 1
0.4%
59.919738 2
0.8%
59.332817 1
0.4%
56.9560582 1
0.4%
55.737956 2
0.8%
55.731206 1
0.4%
53.910452 1
0.4%
53.552942 1
0.4%

재외공관 경도
Real number (ℝ)

Distinct179
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.497581
Minimum-157.84187
Maximum178.42353
Zeros0
Zeros (%)0.0%
Negative70
Negative (%)27.5%
Memory size2.4 KiB
2023-12-12T21:48:43.828490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-157.84187
5-th percentile-88.100963
Q1-3.8318345
median26.104722
Q380.058678
95-th percentile149.74073
Maximum178.42353
Range336.2654
Interquartile range (IQR)83.890512

Descriptive statistics

Standard deviation74.853427
Coefficient of variation (CV)2.4544054
Kurtosis-0.46363386
Mean30.497581
Median Absolute Deviation (MAD)43.57204
Skewness0.0016243621
Sum7776.8833
Variance5603.0356
MonotonicityNot monotonic
2023-12-12T21:48:44.017630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-17.467318 6
 
2.4%
178.423532 6
 
2.4%
-69.960545 6
 
2.4%
174.777313 5
 
2.0%
-61.522711 5
 
2.0%
28.226605 4
 
1.6%
-0.185161 3
 
1.2%
147.150749 3
 
1.2%
11.51830304 3
 
1.2%
38.727486 3
 
1.2%
Other values (169) 211
82.7%
ValueCountFrequency (%)
-157.84187 1
0.4%
-149.867276 1
0.4%
-123.1207 1
0.4%
-122.42004 1
0.4%
-122.339339 1
0.4%
-118.292648 1
0.4%
-99.213946 2
0.8%
-96.822985 1
0.4%
-95.462634 1
0.4%
-90.513744 1
0.4%
ValueCountFrequency (%)
178.423532 6
2.4%
174.777313 5
2.0%
174.763702 1
 
0.4%
151.206111 1
 
0.4%
149.112711 1
 
0.4%
147.150749 3
1.2%
144.981904 1
 
0.4%
144.777238 1
 
0.4%
142.731927 1
 
0.4%
141.338247 1
 
0.4%

전화번호
Text

Distinct178
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T21:48:44.288460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length15.141176
Min length13

Characters and Unicode

Total characters3861
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)52.2%

Sample

1st row(233)302-771-705
2nd row(241)6530-1900
3rd row(58)212-954-1270
4th row(221)33-824-06-72
5th row(502)2382-4051
ValueCountFrequency (%)
221)33-824-06-72 6
 
2.4%
679)330-0977 6
 
2.4%
1-809)482-6505 6
 
2.4%
64)4-473-9073 5
 
2.0%
1)868-622-9081 5
 
2.0%
27)12-460-2508 4
 
1.6%
225)2248-6701 3
 
1.2%
251)113-72-81-11 3
 
1.2%
233)302-771-705 3
 
1.2%
261)20-222-2933 3
 
1.2%
Other values (168) 211
82.7%
2023-12-12T21:48:44.700373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 484
12.5%
2 464
12.0%
1 363
9.4%
0 343
8.9%
5 272
 
7.0%
( 255
 
6.6%
) 255
 
6.6%
3 252
 
6.5%
8 243
 
6.3%
4 238
 
6.2%
Other values (3) 692
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2867
74.3%
Dash Punctuation 484
 
12.5%
Open Punctuation 255
 
6.6%
Close Punctuation 255
 
6.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 464
16.2%
1 363
12.7%
0 343
12.0%
5 272
9.5%
3 252
8.8%
8 243
8.5%
4 238
8.3%
6 236
8.2%
7 234
8.2%
9 222
7.7%
Dash Punctuation
ValueCountFrequency (%)
- 484
100.0%
Open Punctuation
ValueCountFrequency (%)
( 255
100.0%
Close Punctuation
ValueCountFrequency (%)
) 255
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3861
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 484
12.5%
2 464
12.0%
1 363
9.4%
0 343
8.9%
5 272
 
7.0%
( 255
 
6.6%
) 255
 
6.6%
3 252
 
6.5%
8 243
 
6.3%
4 238
 
6.2%
Other values (3) 692
17.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3861
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 484
12.5%
2 464
12.0%
1 363
9.4%
0 343
8.9%
5 272
 
7.0%
( 255
 
6.6%
) 255
 
6.6%
3 252
 
6.5%
8 243
 
6.3%
4 238
 
6.2%
Other values (3) 692
17.9%

영사콜센터번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
(82)2-3210-0404
255 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(82)2-3210-0404
2nd row(82)2-3210-0404
3rd row(82)2-3210-0404
4th row(82)2-3210-0404
5th row(82)2-3210-0404

Common Values

ValueCountFrequency (%)
(82)2-3210-0404 255
100.0%

Length

2023-12-12T21:48:44.847507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:48:44.940589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
82)2-3210-0404 255
100.0%

무료전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
080-020-0219
255 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row080-020-0219
2nd row080-020-0219
3rd row080-020-0219
4th row080-020-0219
5th row080-020-0219

Common Values

ValueCountFrequency (%)
080-020-0219 255
100.0%

Length

2023-12-12T21:48:45.055885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:48:45.183084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
080-020-0219 255
100.0%

긴급전화번호
Text

Distinct179
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T21:48:45.417078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length15.454902
Min length13

Characters and Unicode

Total characters3941
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)52.9%

Sample

1st row(233)244-321-858
2nd row(241)7750-7822
3rd row(58)412-309-3247
4th row(221)77-639-5109
5th row(502)3368-9333
ValueCountFrequency (%)
221)77-639-5109 6
 
2.4%
679)992-2186 6
 
2.4%
1-809)383-9091 6
 
2.4%
64)21-0269-3271 5
 
2.0%
1)868-316-5672 5
 
2.0%
27)66-332-5897 4
 
1.6%
225)8827-3480 3
 
1.2%
251)92-217-4741 3
 
1.2%
233)244-321-858 3
 
1.2%
261)32-781-0874 3
 
1.2%
Other values (169) 211
82.7%
2023-12-12T21:48:45.934794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 475
12.1%
9 329
8.3%
1 327
8.3%
3 309
 
7.8%
8 308
 
7.8%
7 306
 
7.8%
2 300
 
7.6%
4 275
 
7.0%
5 271
 
6.9%
0 267
 
6.8%
Other values (3) 774
19.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2956
75.0%
Dash Punctuation 475
 
12.1%
Open Punctuation 255
 
6.5%
Close Punctuation 255
 
6.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 329
11.1%
1 327
11.1%
3 309
10.5%
8 308
10.4%
7 306
10.4%
2 300
10.1%
4 275
9.3%
5 271
9.2%
0 267
9.0%
6 264
8.9%
Dash Punctuation
ValueCountFrequency (%)
- 475
100.0%
Open Punctuation
ValueCountFrequency (%)
( 255
100.0%
Close Punctuation
ValueCountFrequency (%)
) 255
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3941
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 475
12.1%
9 329
8.3%
1 327
8.3%
3 309
 
7.8%
8 308
 
7.8%
7 306
 
7.8%
2 300
 
7.6%
4 275
 
7.0%
5 271
 
6.9%
0 267
 
6.8%
Other values (3) 774
19.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3941
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 475
12.1%
9 329
8.3%
1 327
8.3%
3 309
 
7.8%
8 308
 
7.8%
7 306
 
7.8%
2 300
 
7.6%
4 275
 
7.0%
5 271
 
6.9%
0 267
 
6.8%
Other values (3) 774
19.6%

재외공관주소
Text

Distinct178
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T21:48:46.342001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length157
Median length82
Mean length66.517647
Min length10

Characters and Unicode

Total characters16962
Distinct characters102
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)52.2%

Sample

1st rowNo.10, Fifth Avenue Extension, Cantonments, P.O.Box GP 13700, Accra, Ghana,
2nd rowB.P.2620, Libreville, Gabon,
3rd rowAv. Francisco de Miranda, Centro Lido, Torre B, Piso 9, Ofic. 91-92-B, El Rosal, Caracas, Venezuela,
4th rowAmbassade de la Republique de Coree, Villa Hamoudy, Rue Aime Cesaire, Fann Residence, B.P.5850, Dakar, Senegal,
5th row5a. Ave. 5-55, Zona 14, Edificio Europlaza Torre 3, Nivel 7, Ciudad de Guatemala, Guatemala C.A,
ValueCountFrequency (%)
street 43
 
1.7%
de 43
 
1.7%
of 25
 
1.0%
road 22
 
0.9%
p.o.box 21
 
0.8%
floor 21
 
0.8%
avenue 18
 
0.7%
st 18
 
0.7%
torre 18
 
0.7%
house 17
 
0.7%
Other values (1175) 2258
90.2%
2023-12-12T21:48:46.913918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2254
 
13.3%
a 1368
 
8.1%
, 1137
 
6.7%
e 1025
 
6.0%
o 826
 
4.9%
i 773
 
4.6%
r 715
 
4.2%
n 682
 
4.0%
t 549
 
3.2%
l 505
 
3.0%
Other values (92) 7128
42.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9489
55.9%
Space Separator 2254
 
13.3%
Uppercase Letter 2150
 
12.7%
Decimal Number 1461
 
8.6%
Other Punctuation 1438
 
8.5%
Dash Punctuation 101
 
0.6%
Other Letter 39
 
0.2%
Open Punctuation 13
 
0.1%
Close Punctuation 13
 
0.1%
Letter Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
中 3
 
7.7%
路 2
 
5.1%
技 2
 
5.1%
新 2
 
5.1%
高 2
 
5.1%
國 2
 
5.1%
西 2
 
5.1%
市 2
 
5.1%
省 2
 
5.1%
층 2
 
5.1%
Other values (18) 18
46.2%
Lowercase Letter
ValueCountFrequency (%)
a 1368
14.4%
e 1025
10.8%
o 826
 
8.7%
i 773
 
8.1%
r 715
 
7.5%
n 682
 
7.2%
t 549
 
5.8%
l 505
 
5.3%
u 412
 
4.3%
s 390
 
4.1%
Other values (16) 2244
23.6%
Uppercase Letter
ValueCountFrequency (%)
S 216
 
10.0%
A 213
 
9.9%
P 153
 
7.1%
C 153
 
7.1%
B 147
 
6.8%
R 119
 
5.5%
M 114
 
5.3%
N 113
 
5.3%
T 87
 
4.0%
E 81
 
3.8%
Other values (16) 754
35.1%
Decimal Number
ValueCountFrequency (%)
1 312
21.4%
0 280
19.2%
2 155
10.6%
3 137
9.4%
5 129
8.8%
4 117
 
8.0%
6 90
 
6.2%
9 89
 
6.1%
8 81
 
5.5%
7 71
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 1137
79.1%
. 251
 
17.5%
& 15
 
1.0%
; 15
 
1.0%
/ 10
 
0.7%
# 7
 
0.5%
: 3
 
0.2%
Space Separator
ValueCountFrequency (%)
2254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11643
68.6%
Common 5280
31.1%
Han 37
 
0.2%
Hangul 2
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1368
 
11.7%
e 1025
 
8.8%
o 826
 
7.1%
i 773
 
6.6%
r 715
 
6.1%
n 682
 
5.9%
t 549
 
4.7%
l 505
 
4.3%
u 412
 
3.5%
s 390
 
3.3%
Other values (43) 4398
37.8%
Han
ValueCountFrequency (%)
中 3
 
8.1%
路 2
 
5.4%
技 2
 
5.4%
新 2
 
5.4%
高 2
 
5.4%
國 2
 
5.4%
西 2
 
5.4%
市 2
 
5.4%
省 2
 
5.4%
春 1
 
2.7%
Other values (17) 17
45.9%
Common
ValueCountFrequency (%)
2254
42.7%
, 1137
21.5%
1 312
 
5.9%
0 280
 
5.3%
. 251
 
4.8%
2 155
 
2.9%
3 137
 
2.6%
5 129
 
2.4%
4 117
 
2.2%
- 101
 
1.9%
Other values (11) 407
 
7.7%
Hangul
ValueCountFrequency (%)
층 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16919
99.7%
CJK 37
 
0.2%
Number Forms 4
 
< 0.1%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2254
 
13.3%
a 1368
 
8.1%
, 1137
 
6.7%
e 1025
 
6.1%
o 826
 
4.9%
i 773
 
4.6%
r 715
 
4.2%
n 682
 
4.0%
t 549
 
3.2%
l 505
 
3.0%
Other values (63) 7085
41.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%
CJK
ValueCountFrequency (%)
中 3
 
8.1%
路 2
 
5.4%
技 2
 
5.4%
新 2
 
5.4%
高 2
 
5.4%
國 2
 
5.4%
西 2
 
5.4%
市 2
 
5.4%
省 2
 
5.4%
春 1
 
2.7%
Other values (17) 17
45.9%
Hangul
ValueCountFrequency (%)
층 2
100.0%

Interactions

2023-12-12T21:48:40.252023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:48:40.070387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:48:40.347127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:48:40.152631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:48:47.030284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
겸임(관할)재외공관 유형재외공관 위도재외공관 경도
겸임(관할)1.0000.3670.3310.397
재외공관 유형0.3671.0000.1570.523
재외공관 위도0.3310.1571.0000.781
재외공관 경도0.3970.5230.7811.000
2023-12-12T21:48:47.136855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
겸임(관할)재외공관 유형
겸임(관할)1.0000.175
재외공관 유형0.1751.000
2023-12-12T21:48:47.230382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재외공관 위도재외공관 경도겸임(관할)재외공관 유형
재외공관 위도1.000-0.1440.2070.064
재외공관 경도-0.1441.0000.2580.208
겸임(관할)0.2070.2581.0000.175
재외공관 유형0.0640.2080.1751.000

Missing values

2023-12-12T21:48:40.501007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:48:40.674669image/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

국가명국가코드(ISO 2자리 코드)겸임(관할)재외공관 유형재외공관명재외공관 위도재외공관 경도전화번호영사콜센터번호무료전화번호긴급전화번호재외공관주소
0가나GH일반대사관주 가나 대한민국 대사관5.575495-0.185161(233)302-771-705(82)2-3210-0404080-020-0219(233)244-321-858No.10, Fifth Avenue Extension, Cantonments, P.O.Box GP 13700, Accra, Ghana,
1가봉GA일반대사관주 가봉 대한민국 대사관0.4775879.393928(241)6530-1900(82)2-3210-0404080-020-0219(241)7750-7822B.P.2620, Libreville, Gabon,
2가이아나GY겸임대사관주 베네수엘라 대한민국 대사관10.491337-66.861998(58)212-954-1270(82)2-3210-0404080-020-0219(58)412-309-3247Av. Francisco de Miranda, Centro Lido, Torre B, Piso 9, Ofic. 91-92-B, El Rosal, Caracas, Venezuela,
3감비아GM겸임대사관주 세네갈 대한민국 대사관14.695506-17.467318(221)33-824-06-72(82)2-3210-0404080-020-0219(221)77-639-5109Ambassade de la Republique de Coree, Villa Hamoudy, Rue Aime Cesaire, Fann Residence, B.P.5850, Dakar, Senegal,
4과테말라GT일반대사관주 과테말라 대한민국 대사관14.587905-90.513744(502)2382-4051(82)2-3210-0404080-020-0219(502)3368-93335a. Ave. 5-55, Zona 14, Edificio Europlaza Torre 3, Nivel 7, Ciudad de Guatemala, Guatemala C.A,
5그레나다GD겸임대사관주 트리니다드토바고 대한민국 대사관10.669715-61.522711(1)868-622-9081(82)2-3210-0404080-020-0219(1)868-316-567230# Elizabth street, St.Clair, Port of Spain, Trinidad and Tobago,
6그리스GR일반대사관주 그리스 대한민국 대사관37.98466323.760519(30)210-698-4080(82)2-3210-0404080-020-0219(30)694-611-7098Embassy of the Republic of Korea , Athens Tower A building , 19th Floor, 2-4 Messogion Avenue, 115 27, Athens, Greece,
7기니GN겸임대사관주 세네갈 대한민국 대사관14.695506-17.467318(221)33-824-06-72(82)2-3210-0404080-020-0219(221)77-639-5109Ambassade de la Republique de Coree, Villa Hamoudy, Rue Aime Cesaire, Fann Residence, B.P.5850, Dakar, Senegal,
8기니비사우GW겸임대사관주 세네갈 대한민국 대사관14.695506-17.467318(221)33-824-06-72(82)2-3210-0404080-020-0219(221)77-639-5109Ambassade de la Republique de Coree, Villa Hamoudy, Rue Aime Cesaire, Fann Residence, B.P.5850, Dakar, Senegal,
9나미비아<NA>겸임대사관주 앙골라 대한민국 대사관-8.92086813.202023(244)222-006-067(82)2-3210-0404080-020-0219(244)938-880-573Condominio Zenith, Torre 1, 7&ordm; Andar, Via AL 16, Luanda, Angola,
국가명국가코드(ISO 2자리 코드)겸임(관할)재외공관 유형재외공관명재외공관 위도재외공관 경도전화번호영사콜센터번호무료전화번호긴급전화번호재외공관주소
245폴란드PL일반대사관주 폴란드 대한민국 대사관52.2167621.041807(48)22-559-2900(82)2-3210-0404080-020-0219(48)887-46-0600ul. Szwolezerow 6, 00-464, Warsaw, Poland,
246프랑스FR일반대사관주 프랑스 대한민국 대사관48.8580522.316395(33)1-4753-0101(82)2-3210-0404080-020-0219(33)6-8028-5396125 rue de Grenelle 75007 Paris,
247피지FJ일반대사관주 피지 대한민국 대사관-18.140068178.423532(679)330-0977(82)2-3210-0404080-020-0219(679)992-21868th Fl., Vanua House, Victoria Parade, Suva, Fiji,
248핀란드FI일반대사관주 핀란드 대한민국 대사관60.16485524.944314(358)9-2515-000(82)2-3210-0404080-020-0219(358)40-903-1021Erottajankatu 7, 00130 Helsinki, Finland,
249필리핀PH일반대사관주 필리핀 대한민국 대사관14.540778121.05527(63)2-8856-9210(82)2-3210-0404080-020-0219(63)917-817-5703122 Upper Mckinley Road, Mckinley Town Center, Fort Bonifacio, Taguig City 1634,
250필리핀PH일반분관주 세부 대한민국 분관10.316248123.908387(63)32-231-1516(82)2-3210-0404080-020-0219(63)917-808-390711th Floor, AppleOne-Equicom Tower, Mindanao Avenue corner, Biliran Roadk, Cebu Business Park, Cebu City, 6000 Philippines.,
251헝가리HU일반대사관주 헝가리 대한민국 대사관47.5117319.073067(36)1-462-3080(82)2-3210-0404080-020-0219(36)30-550-99221062 Budapest, Andrassy ut 109, Hungary,
252호주AU일반대사관주 호주 대한민국 대사관-35.30982149.112711(61)2-6270-4100(82)2-3210-0404080-020-0219(61)408-815-922113 Empire Circuit, Yarralumla ACT 2600, Australia,
253호주AU일반분관주 멜번 대한민국 분관-37.854733144.981904(61)3-9533-3800(82)2-3210-0404080-020-0219(61)418-435-915Level 10, 636 St kilda rd, Melbourne VIC 3004,
254호주AU일반총영사관주 시드니 대한민국 총영사관-33.870306151.206111(61)2-9210-0200(82)2-3210-0404080-020-0219(61)403-546-058Level 10, 44 Market Street Sydney NSW 2000,