Overview

Dataset statistics

Number of variables10
Number of observations27
Missing cells150
Missing cells (%)55.6%
Duplicate rows1
Duplicate rows (%)3.7%
Total size in memory2.2 KiB
Average record size in memory84.9 B

Variable types

Text10

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15280/F/1/datasetView.do

Alerts

Dataset has 1 (3.7%) duplicate rowsDuplicates
구분 has 15 (55.6%) missing valuesMissing
내부순환로 has 15 (55.6%) missing valuesMissing
강변북로 has 15 (55.6%) missing valuesMissing
북부간선도로 has 15 (55.6%) missing valuesMissing
올림픽대로 has 15 (55.6%) missing valuesMissing
동부간선도로 has 15 (55.6%) missing valuesMissing
분당수서로 has 15 (55.6%) missing valuesMissing
경부고속도로 has 15 (55.6%) missing valuesMissing
서부간선도로 has 15 (55.6%) missing valuesMissing
강남순환로 has 15 (55.6%) missing valuesMissing

Reproduction

Analysis started2023-12-11 05:44:23.856166
Analysis finished2023-12-11 05:44:24.738316
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Memory size348.0 B
2023-12-11T14:44:24.890697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.25
Min length2

Characters and Unicode

Total characters27
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row1월
2nd row2월
3rd row3월
4th row4월
5th row5월
ValueCountFrequency (%)
1월 1
8.3%
2월 1
8.3%
3월 1
8.3%
4월 1
8.3%
5월 1
8.3%
6월 1
8.3%
7월 1
8.3%
8월 1
8.3%
9월 1
8.3%
10월 1
8.3%
Other values (2) 2
16.7%
2023-12-11T14:44:25.293691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
월 12
44.4%
1 5
18.5%
2 2
 
7.4%
3 1
 
3.7%
4 1
 
3.7%
5 1
 
3.7%
6 1
 
3.7%
7 1
 
3.7%
8 1
 
3.7%
9 1
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15
55.6%
Other Letter 12
44.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5
33.3%
2 2
 
13.3%
3 1
 
6.7%
4 1
 
6.7%
5 1
 
6.7%
6 1
 
6.7%
7 1
 
6.7%
8 1
 
6.7%
9 1
 
6.7%
0 1
 
6.7%
Other Letter
ValueCountFrequency (%)
월 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15
55.6%
Hangul 12
44.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5
33.3%
2 2
 
13.3%
3 1
 
6.7%
4 1
 
6.7%
5 1
 
6.7%
6 1
 
6.7%
7 1
 
6.7%
8 1
 
6.7%
9 1
 
6.7%
0 1
 
6.7%
Hangul
ValueCountFrequency (%)
월 12
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15
55.6%
Hangul 12
44.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
월 12
100.0%
ASCII
ValueCountFrequency (%)
1 5
33.3%
2 2
 
13.3%
3 1
 
6.7%
4 1
 
6.7%
5 1
 
6.7%
6 1
 
6.7%
7 1
 
6.7%
8 1
 
6.7%
9 1
 
6.7%
0 1
 
6.7%

내부순환로
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Memory size348.0 B
2023-12-11T14:44:25.495044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters96
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row161,755
2nd row164,280
3rd row161,705
4th row162,517
5th row160,906
ValueCountFrequency (%)
161,755 1
8.3%
164,280 1
8.3%
161,705 1
8.3%
162,517 1
8.3%
160,906 1
8.3%
160,378 1
8.3%
158,353 1
8.3%
159,529 1
8.3%
161,036 1
8.3%
163,969 1
8.3%
Other values (2) 2
16.7%
2023-12-11T14:44:25.851043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 17
17.7%
6 14
14.6%
, 12
12.5%
12
12.5%
5 9
9.4%
0 6
 
6.2%
7 5
 
5.2%
8 5
 
5.2%
9 5
 
5.2%
3 5
 
5.2%
Other values (2) 6
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
75.0%
Other Punctuation 12
 
12.5%
Space Separator 12
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 17
23.6%
6 14
19.4%
5 9
12.5%
0 6
 
8.3%
7 5
 
6.9%
8 5
 
6.9%
9 5
 
6.9%
3 5
 
6.9%
4 3
 
4.2%
2 3
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 17
17.7%
6 14
14.6%
, 12
12.5%
12
12.5%
5 9
9.4%
0 6
 
6.2%
7 5
 
5.2%
8 5
 
5.2%
9 5
 
5.2%
3 5
 
5.2%
Other values (2) 6
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 17
17.7%
6 14
14.6%
, 12
12.5%
12
12.5%
5 9
9.4%
0 6
 
6.2%
7 5
 
5.2%
8 5
 
5.2%
9 5
 
5.2%
3 5
 
5.2%
Other values (2) 6
 
6.2%

강변북로
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Memory size348.0 B
2023-12-11T14:44:26.013597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters96
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row250,335
2nd row254,520
3rd row256,521
4th row253,503
5th row248,693
ValueCountFrequency (%)
250,335 1
8.3%
254,520 1
8.3%
256,521 1
8.3%
253,503 1
8.3%
248,693 1
8.3%
257,120 1
8.3%
252,704 1
8.3%
249,193 1
8.3%
250,056 1
8.3%
250,133 1
8.3%
Other values (2) 2
16.7%
2023-12-11T14:44:26.298863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 18
18.8%
5 14
14.6%
, 12
12.5%
12
12.5%
3 10
10.4%
0 8
8.3%
4 5
 
5.2%
1 5
 
5.2%
9 5
 
5.2%
6 3
 
3.1%
Other values (2) 4
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
75.0%
Other Punctuation 12
 
12.5%
Space Separator 12
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 18
25.0%
5 14
19.4%
3 10
13.9%
0 8
11.1%
4 5
 
6.9%
1 5
 
6.9%
9 5
 
6.9%
6 3
 
4.2%
8 2
 
2.8%
7 2
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 18
18.8%
5 14
14.6%
, 12
12.5%
12
12.5%
3 10
10.4%
0 8
8.3%
4 5
 
5.2%
1 5
 
5.2%
9 5
 
5.2%
6 3
 
3.1%
Other values (2) 4
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 18
18.8%
5 14
14.6%
, 12
12.5%
12
12.5%
3 10
10.4%
0 8
8.3%
4 5
 
5.2%
1 5
 
5.2%
9 5
 
5.2%
6 3
 
3.1%
Other values (2) 4
 
4.2%

북부간선도로
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Memory size348.0 B
2023-12-11T14:44:26.470919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters96
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row108,053
2nd row108,137
3rd row110,567
4th row109,311
5th row108,309
ValueCountFrequency (%)
108,053 1
8.3%
108,137 1
8.3%
110,567 1
8.3%
109,311 1
8.3%
108,309 1
8.3%
108,883 1
8.3%
110,382 1
8.3%
111,190 1
8.3%
112,740 1
8.3%
113,890 1
8.3%
Other values (2) 2
16.7%
2023-12-11T14:44:26.790175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 23
24.0%
0 14
14.6%
, 12
12.5%
12
12.5%
8 9
 
9.4%
3 7
 
7.3%
9 5
 
5.2%
7 4
 
4.2%
2 4
 
4.2%
5 3
 
3.1%
Other values (2) 3
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
75.0%
Other Punctuation 12
 
12.5%
Space Separator 12
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 23
31.9%
0 14
19.4%
8 9
 
12.5%
3 7
 
9.7%
9 5
 
6.9%
7 4
 
5.6%
2 4
 
5.6%
5 3
 
4.2%
4 2
 
2.8%
6 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 23
24.0%
0 14
14.6%
, 12
12.5%
12
12.5%
8 9
 
9.4%
3 7
 
7.3%
9 5
 
5.2%
7 4
 
4.2%
2 4
 
4.2%
5 3
 
3.1%
Other values (2) 3
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 23
24.0%
0 14
14.6%
, 12
12.5%
12
12.5%
8 9
 
9.4%
3 7
 
7.3%
9 5
 
5.2%
7 4
 
4.2%
2 4
 
4.2%
5 3
 
3.1%
Other values (2) 3
 
3.1%

올림픽대로
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Memory size348.0 B
2023-12-11T14:44:26.963959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters96
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row253,254
2nd row258,610
3rd row261,524
4th row263,775
5th row257,955
ValueCountFrequency (%)
253,254 1
8.3%
258,610 1
8.3%
261,524 1
8.3%
263,775 1
8.3%
257,955 1
8.3%
264,711 1
8.3%
258,971 1
8.3%
255,795 1
8.3%
259,504 1
8.3%
260,078 1
8.3%
Other values (2) 2
16.7%
2023-12-11T14:44:27.261577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 17
17.7%
2 14
14.6%
, 12
12.5%
12
12.5%
7 10
10.4%
3 5
 
5.2%
6 5
 
5.2%
1 5
 
5.2%
9 5
 
5.2%
4 4
 
4.2%
Other values (2) 7
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
75.0%
Other Punctuation 12
 
12.5%
Space Separator 12
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 17
23.6%
2 14
19.4%
7 10
13.9%
3 5
 
6.9%
6 5
 
6.9%
1 5
 
6.9%
9 5
 
6.9%
4 4
 
5.6%
0 4
 
5.6%
8 3
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 17
17.7%
2 14
14.6%
, 12
12.5%
12
12.5%
7 10
10.4%
3 5
 
5.2%
6 5
 
5.2%
1 5
 
5.2%
9 5
 
5.2%
4 4
 
4.2%
Other values (2) 7
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 17
17.7%
2 14
14.6%
, 12
12.5%
12
12.5%
7 10
10.4%
3 5
 
5.2%
6 5
 
5.2%
1 5
 
5.2%
9 5
 
5.2%
4 4
 
4.2%
Other values (2) 7
7.3%

동부간선도로
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Memory size348.0 B
2023-12-11T14:44:27.465081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters96
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row145,411
2nd row147,153
3rd row136,652
4th row148,388
5th row145,580
ValueCountFrequency (%)
145,411 1
8.3%
147,153 1
8.3%
136,652 1
8.3%
148,388 1
8.3%
145,580 1
8.3%
149,503 1
8.3%
145,592 1
8.3%
146,356 1
8.3%
147,502 1
8.3%
145,689 1
8.3%
Other values (2) 2
16.7%
2023-12-11T14:44:28.046241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 15
15.6%
5 13
13.5%
4 12
12.5%
, 12
12.5%
12
12.5%
6 6
 
6.2%
3 5
 
5.2%
2 5
 
5.2%
8 5
 
5.2%
0 4
 
4.2%
Other values (2) 7
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
75.0%
Other Punctuation 12
 
12.5%
Space Separator 12
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15
20.8%
5 13
18.1%
4 12
16.7%
6 6
 
8.3%
3 5
 
6.9%
2 5
 
6.9%
8 5
 
6.9%
0 4
 
5.6%
9 4
 
5.6%
7 3
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 15
15.6%
5 13
13.5%
4 12
12.5%
, 12
12.5%
12
12.5%
6 6
 
6.2%
3 5
 
5.2%
2 5
 
5.2%
8 5
 
5.2%
0 4
 
4.2%
Other values (2) 7
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 15
15.6%
5 13
13.5%
4 12
12.5%
, 12
12.5%
12
12.5%
6 6
 
6.2%
3 5
 
5.2%
2 5
 
5.2%
8 5
 
5.2%
0 4
 
4.2%
Other values (2) 7
7.3%

분당수서로
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Memory size348.0 B
2023-12-11T14:44:28.244486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters96
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row136,421
2nd row140,052
3rd row141,963
4th row141,800
5th row139,840
ValueCountFrequency (%)
136,421 1
8.3%
140,052 1
8.3%
141,963 1
8.3%
141,800 1
8.3%
139,840 1
8.3%
142,410 1
8.3%
139,055 1
8.3%
140,285 1
8.3%
143,633 1
8.3%
142,836 1
8.3%
Other values (2) 2
16.7%
2023-12-11T14:44:28.558253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 16
16.7%
4 14
14.6%
, 12
12.5%
12
12.5%
3 10
10.4%
0 8
8.3%
2 6
 
6.2%
6 5
 
5.2%
8 5
 
5.2%
5 4
 
4.2%
Other values (2) 4
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
75.0%
Other Punctuation 12
 
12.5%
Space Separator 12
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
22.2%
4 14
19.4%
3 10
13.9%
0 8
11.1%
2 6
 
8.3%
6 5
 
6.9%
8 5
 
6.9%
5 4
 
5.6%
9 3
 
4.2%
7 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 16
16.7%
4 14
14.6%
, 12
12.5%
12
12.5%
3 10
10.4%
0 8
8.3%
2 6
 
6.2%
6 5
 
5.2%
8 5
 
5.2%
5 4
 
4.2%
Other values (2) 4
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 16
16.7%
4 14
14.6%
, 12
12.5%
12
12.5%
3 10
10.4%
0 8
8.3%
2 6
 
6.2%
6 5
 
5.2%
8 5
 
5.2%
5 4
 
4.2%
Other values (2) 4
 
4.2%

경부고속도로
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Memory size348.0 B
2023-12-11T14:44:28.761263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters96
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row202,347
2nd row205,751
3rd row210,265
4th row212,099
5th row209,012
ValueCountFrequency (%)
202,347 1
8.3%
205,751 1
8.3%
210,265 1
8.3%
212,099 1
8.3%
209,012 1
8.3%
213,614 1
8.3%
207,663 1
8.3%
206,872 1
8.3%
209,658 1
8.3%
212,144 1
8.3%
Other values (2) 2
16.7%
2023-12-11T14:44:29.075720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 19
19.8%
, 12
12.5%
12
12.5%
0 11
11.5%
1 10
10.4%
6 9
9.4%
3 4
 
4.2%
4 4
 
4.2%
7 4
 
4.2%
5 4
 
4.2%
Other values (2) 7
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
75.0%
Other Punctuation 12
 
12.5%
Space Separator 12
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 19
26.4%
0 11
15.3%
1 10
13.9%
6 9
12.5%
3 4
 
5.6%
4 4
 
5.6%
7 4
 
5.6%
5 4
 
5.6%
9 4
 
5.6%
8 3
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 19
19.8%
, 12
12.5%
12
12.5%
0 11
11.5%
1 10
10.4%
6 9
9.4%
3 4
 
4.2%
4 4
 
4.2%
7 4
 
4.2%
5 4
 
4.2%
Other values (2) 7
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 19
19.8%
, 12
12.5%
12
12.5%
0 11
11.5%
1 10
10.4%
6 9
9.4%
3 4
 
4.2%
4 4
 
4.2%
7 4
 
4.2%
5 4
 
4.2%
Other values (2) 7
 
7.3%

서부간선도로
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Memory size348.0 B
2023-12-11T14:44:29.278140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.4166667
Min length1

Characters and Unicode

Total characters89
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

Unique12 ?
Unique (%)100.0%

Sample

1st row112,047
2nd row105,753
3rd row-
4th row116,153
5th row115,581
ValueCountFrequency (%)
112,047 1
8.3%
105,753 1
8.3%
1
8.3%
116,153 1
8.3%
115,581 1
8.3%
118,436 1
8.3%
115,310 1
8.3%
114,653 1
8.3%
114,380 1
8.3%
109,639 1
8.3%
Other values (2) 2
16.7%
2023-12-11T14:44:29.659015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 22
24.7%
, 11
12.4%
11
12.4%
0 10
11.2%
5 7
 
7.9%
3 7
 
7.9%
6 5
 
5.6%
4 4
 
4.5%
8 4
 
4.5%
7 3
 
3.4%
Other values (3) 5
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66
74.2%
Other Punctuation 11
 
12.4%
Space Separator 11
 
12.4%
Dash Punctuation 1
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 22
33.3%
0 10
15.2%
5 7
 
10.6%
3 7
 
10.6%
6 5
 
7.6%
4 4
 
6.1%
8 4
 
6.1%
7 3
 
4.5%
2 2
 
3.0%
9 2
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 89
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 22
24.7%
, 11
12.4%
11
12.4%
0 10
11.2%
5 7
 
7.9%
3 7
 
7.9%
6 5
 
5.6%
4 4
 
4.5%
8 4
 
4.5%
7 3
 
3.4%
Other values (3) 5
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 89
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 22
24.7%
, 11
12.4%
11
12.4%
0 10
11.2%
5 7
 
7.9%
3 7
 
7.9%
6 5
 
5.6%
4 4
 
4.5%
8 4
 
4.5%
7 3
 
3.4%
Other values (3) 5
 
5.6%

강남순환로
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing15
Missing (%)55.6%
Memory size348.0 B
2023-12-11T14:44:29.858820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.9166667
Min length7

Characters and Unicode

Total characters95
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row108,595
2nd row114,890
3rd row115,745
4th row121,866
5th row121,414
ValueCountFrequency (%)
108,595 1
8.3%
114,890 1
8.3%
115,745 1
8.3%
121,866 1
8.3%
121,414 1
8.3%
124,630 1
8.3%
125,763 1
8.3%
126,111 1
8.3%
124,511 1
8.3%
95,529 1
8.3%
Other values (2) 2
16.7%
2023-12-11T14:44:30.201574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 22
23.2%
, 12
12.6%
12
12.6%
2 9
9.5%
5 8
 
8.4%
9 7
 
7.4%
4 6
 
6.3%
0 5
 
5.3%
6 5
 
5.3%
7 4
 
4.2%
Other values (2) 5
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71
74.7%
Other Punctuation 12
 
12.6%
Space Separator 12
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 22
31.0%
2 9
12.7%
5 8
 
11.3%
9 7
 
9.9%
4 6
 
8.5%
0 5
 
7.0%
6 5
 
7.0%
7 4
 
5.6%
8 3
 
4.2%
3 2
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 95
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 22
23.2%
, 12
12.6%
12
12.6%
2 9
9.5%
5 8
 
8.4%
9 7
 
7.4%
4 6
 
6.3%
0 5
 
5.3%
6 5
 
5.3%
7 4
 
4.2%
Other values (2) 5
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 95
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 22
23.2%
, 12
12.6%
12
12.6%
2 9
9.5%
5 8
 
8.4%
9 7
 
7.4%
4 6
 
6.3%
0 5
 
5.3%
6 5
 
5.3%
7 4
 
4.2%
Other values (2) 5
 
5.3%

Correlations

2023-12-11T14:44:30.326544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분내부순환로강변북로북부간선도로올림픽대로동부간선도로분당수서로경부고속도로서부간선도로강남순환로
구분1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
내부순환로1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
강변북로1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
북부간선도로1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
올림픽대로1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
동부간선도로1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
분당수서로1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
경부고속도로1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
서부간선도로1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
강남순환로1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T14:44:24.262214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T14:44:24.460989image/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.
2023-12-11T14:44:24.611438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구분내부순환로강변북로북부간선도로올림픽대로동부간선도로분당수서로경부고속도로서부간선도로강남순환로
01월161,755250,335108,053253,254145,411136,421202,347112,047108,595
12월164,280254,520108,137258,610147,153140,052205,751105,753114,890
23월161,705256,521110,567261,524136,652141,963210,265-115,745
34월162,517253,503109,311263,775148,388141,800212,099116,153121,866
45월160,906248,693108,309257,955145,580139,840209,012115,581121,414
56월160,378257,120108,883264,711149,503142,410213,614118,436124,630
67월158,353252,704110,382258,971145,592139,055207,663115,310125,763
78월159,529249,193111,190255,795146,356140,285206,872114,653126,111
89월161,036250,056112,740259,504147,502143,633209,658114,380124,511
910월163,969250,133113,890260,078145,689142,836212,144109,63995,529
구분내부순환로강변북로북부간선도로올림픽대로동부간선도로분당수서로경부고속도로서부간선도로강남순환로
17<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
24<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

구분내부순환로강변북로북부간선도로올림픽대로동부간선도로분당수서로경부고속도로서부간선도로강남순환로# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15