Overview

Dataset statistics

Number of variables2
Number of observations246
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory16.5 B

Variable types

Text2

Dataset

Description비행절차, 항공로 등의 FIX, WAYPOINT 등 에대한 정보로 ID, FIX 명칭(Designator), 좌표(Coordinates)의 내용을 수록한 정보입니다.
Author국토교통부 항공교통본부
URLhttps://www.data.go.kr/data/15122874/fileData.do

Reproduction

Analysis started2023-12-12 12:20:47.010249
Analysis finished2023-12-12 12:20:47.244638
Duration0.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식별자
Text

Distinct237
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T21:20:47.569576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.4186992
Min length5

Characters and Unicode

Total characters1333
Distinct characters37
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique229 ?
Unique (%)93.1%

Sample

1st rowTAMNA
2nd rowSAMDO
3rd rowKANSU
4th rowPALDU
5th rowSABET
ValueCountFrequency (%)
kip 17
 
6.1%
isel 6
 
2.2%
thr 4
 
1.4%
d2.0 3
 
1.1%
d0.8 3
 
1.1%
d5 3
 
1.1%
d20 2
 
0.7%
d9.6 2
 
0.7%
d13.2 2
 
0.7%
d1.0 2
 
0.7%
Other values (230) 233
84.1%
2023-12-12T21:20:48.154291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 145
 
10.9%
A 122
 
9.2%
O 106
 
8.0%
I 84
 
6.3%
D 68
 
5.1%
N 67
 
5.0%
K 65
 
4.9%
L 57
 
4.3%
P 55
 
4.1%
E 54
 
4.1%
Other values (27) 510
38.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1101
82.6%
Decimal Number 181
 
13.6%
Space Separator 31
 
2.3%
Other Punctuation 20
 
1.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 145
13.2%
A 122
11.1%
O 106
 
9.6%
I 84
 
7.6%
D 68
 
6.2%
N 67
 
6.1%
K 65
 
5.9%
L 57
 
5.2%
P 55
 
5.0%
E 54
 
4.9%
Other values (15) 278
25.2%
Decimal Number
ValueCountFrequency (%)
3 29
16.0%
7 26
14.4%
1 26
14.4%
0 25
13.8%
2 22
12.2%
8 18
9.9%
6 10
 
5.5%
5 9
 
5.0%
4 9
 
5.0%
9 7
 
3.9%
Space Separator
ValueCountFrequency (%)
31
100.0%
Other Punctuation
ValueCountFrequency (%)
. 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1101
82.6%
Common 232
 
17.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 145
13.2%
A 122
11.1%
O 106
 
9.6%
I 84
 
7.6%
D 68
 
6.2%
N 67
 
6.1%
K 65
 
5.9%
L 57
 
5.2%
P 55
 
5.0%
E 54
 
4.9%
Other values (15) 278
25.2%
Common
ValueCountFrequency (%)
31
13.4%
3 29
12.5%
7 26
11.2%
1 26
11.2%
0 25
10.8%
2 22
9.5%
. 20
8.6%
8 18
7.8%
6 10
 
4.3%
5 9
 
3.9%
Other values (2) 16
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1333
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 145
 
10.9%
A 122
 
9.2%
O 106
 
8.0%
I 84
 
6.3%
D 68
 
5.1%
N 67
 
5.0%
K 65
 
4.9%
L 57
 
4.3%
P 55
 
4.1%
E 54
 
4.1%
Other values (27) 510
38.3%

좌표
Text

Distinct245
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T21:20:48.543706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length17.552846
Min length16

Characters and Unicode

Total characters4318
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique244 ?
Unique (%)99.2%

Sample

1st row332815N 1271953E
2nd row333503N 1281857E
3rd row383800N 1322830E
4th row375813N 1323625E
5th row373829N 1324019E
ValueCountFrequency (%)
1242453e 6
 
1.2%
1282952e 5
 
1.0%
362311n 4
 
0.8%
1271953e 4
 
0.8%
371655.9n 2
 
0.4%
353011n 2
 
0.4%
350730n 2
 
0.4%
350731n 2
 
0.4%
350736n 2
 
0.4%
330012n 2
 
0.4%
Other values (458) 461
93.7%
2023-12-12T21:20:49.185510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 566
13.1%
1 539
12.5%
2 529
12.3%
5 344
8.0%
4 331
7.7%
7 284
6.6%
6 280
 
6.5%
0 251
 
5.8%
N 246
 
5.7%
246
 
5.7%
Other values (4) 702
16.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3392
78.6%
Uppercase Letter 492
 
11.4%
Space Separator 246
 
5.7%
Other Punctuation 188
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 566
16.7%
1 539
15.9%
2 529
15.6%
5 344
10.1%
4 331
9.8%
7 284
8.4%
6 280
8.3%
0 251
7.4%
9 152
 
4.5%
8 116
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
N 246
50.0%
E 246
50.0%
Space Separator
ValueCountFrequency (%)
246
100.0%
Other Punctuation
ValueCountFrequency (%)
. 188
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3826
88.6%
Latin 492
 
11.4%

Most frequent character per script

Common
ValueCountFrequency (%)
3 566
14.8%
1 539
14.1%
2 529
13.8%
5 344
9.0%
4 331
8.7%
7 284
7.4%
6 280
7.3%
0 251
6.6%
246
6.4%
. 188
 
4.9%
Other values (2) 268
7.0%
Latin
ValueCountFrequency (%)
N 246
50.0%
E 246
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 566
13.1%
1 539
12.5%
2 529
12.3%
5 344
8.0%
4 331
7.7%
7 284
6.6%
6 280
 
6.5%
0 251
 
5.8%
N 246
 
5.7%
246
 
5.7%
Other values (4) 702
16.3%

Missing values

2023-12-12T21:20:47.122166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:20:47.211835image/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

식별자좌표
0TAMNA332815N 1271953E
1SAMDO333503N 1281857E
2KANSU383800N 1322830E
3PALDU375813N 1323625E
4SABET373829N 1324019E
5IGRAS371846N 1324411E
6NOMEX374112N 1294441E
7MALSO375440N 1314904E
8OLMEN364413N 1265928E
9ENTEL362311N 1265705E
식별자좌표
236BEPKO333910N 1265514E
237BILUM334613N 1270439E
238ENGOT344834N 1282952E
239NISAV341519N 1275835E
240OLMUD350225N 1284916E
241OMKIM331320N 1264114E
242PAPLU333441N 1270337E
243POVEM345523N 1285416E
244POVOR341520N 1274400E
245UPGOS335733N 1271953E