Overview

Dataset statistics

Number of variables4
Number of observations237
Missing cells3
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory32.6 B

Variable types

Text2
Categorical2

Dataset

Description한국도로공사 고속도로 휴게소에 설치되어 있는 전기차, 수소차 충전소 현황을 나타내는 자료임(2021년 기준 자료)
URLhttps://www.data.go.kr/data/15085543/fileData.do

Alerts

전기차 충전소 is highly imbalanced (51.4%)Imbalance
수소차 충전소 is highly imbalanced (50.1%)Imbalance
전화번호 has 3 (1.3%) missing valuesMissing
주유소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:32:03.637742
Analysis finished2023-12-12 10:32:03.970893
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주유소명
Text

UNIQUE 

Distinct237
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T19:32:04.126470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.2995781
Min length7

Characters and Unicode

Total characters2204
Distinct characters149
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

Unique237 ?
Unique (%)100.0%

Sample

1st row황전(광양)주유소
2nd row황전(전주)주유소
3rd row행담도(시흥)주유소
4th row행담도(목포)주유소
5th row통도사(부산)주유소
ValueCountFrequency (%)
황전(광양)주유소 1
 
0.4%
목감(서울)주유소 1
 
0.4%
안성맞춤(평택)주유소 1
 
0.4%
안성맞춤(충주)주유소 1
 
0.4%
서산(목포)주유소 1
 
0.4%
서하남(일산)주유소 1
 
0.4%
지리산(고서)주유소 1
 
0.4%
김천(부산)주유소 1
 
0.4%
함안(부산)주유소 1
 
0.4%
진주(부산)주유소 1
 
0.4%
Other values (227) 227
95.8%
2023-12-12T19:32:04.514446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 275
 
12.5%
유 240
 
10.9%
소 237
 
10.8%
( 231
 
10.5%
) 231
 
10.5%
산 82
 
3.7%
천 74
 
3.4%
서 47
 
2.1%
울 36
 
1.6%
부 35
 
1.6%
Other values (139) 716
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1742
79.0%
Open Punctuation 231
 
10.5%
Close Punctuation 231
 
10.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 275
15.8%
유 240
 
13.8%
소 237
 
13.6%
산 82
 
4.7%
천 74
 
4.2%
서 47
 
2.7%
울 36
 
2.1%
부 35
 
2.0%
양 28
 
1.6%
평 28
 
1.6%
Other values (137) 660
37.9%
Open Punctuation
ValueCountFrequency (%)
( 231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 231
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1742
79.0%
Common 462
 
21.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 275
15.8%
유 240
 
13.8%
소 237
 
13.6%
산 82
 
4.7%
천 74
 
4.2%
서 47
 
2.7%
울 36
 
2.1%
부 35
 
2.0%
양 28
 
1.6%
평 28
 
1.6%
Other values (137) 660
37.9%
Common
ValueCountFrequency (%)
( 231
50.0%
) 231
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1742
79.0%
ASCII 462
 
21.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 275
15.8%
유 240
 
13.8%
소 237
 
13.6%
산 82
 
4.7%
천 74
 
4.2%
서 47
 
2.7%
울 36
 
2.1%
부 35
 
2.0%
양 28
 
1.6%
평 28
 
1.6%
Other values (137) 660
37.9%
ASCII
ValueCountFrequency (%)
( 231
50.0%
) 231
50.0%

전화번호
Text

MISSING 

Distinct232
Distinct (%)99.1%
Missing3
Missing (%)1.3%
Memory size2.0 KiB
2023-12-12T19:32:04.854875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.021368
Min length11

Characters and Unicode

Total characters2813
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique230 ?
Unique (%)98.3%

Sample

1st row061-782-1737
2nd row061-782-1701
3rd row041-357-8141
4th row041-357-8141
5th row055-372-6163
ValueCountFrequency (%)
061-864-5008 2
 
0.9%
041-357-8141 2
 
0.9%
031-674-8644 1
 
0.4%
061-394-9990 1
 
0.4%
061-782-1737 1
 
0.4%
055-583-9341 1
 
0.4%
031-884-9718 1
 
0.4%
031-885-9764 1
 
0.4%
055-582-6321 1
 
0.4%
055-759-1028 1
 
0.4%
Other values (222) 222
94.9%
2023-12-12T19:32:05.333404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 468
16.6%
0 390
13.9%
3 354
12.6%
4 275
9.8%
5 275
9.8%
1 242
8.6%
8 189
6.7%
6 179
 
6.4%
7 171
 
6.1%
2 171
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2345
83.4%
Dash Punctuation 468
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 390
16.6%
3 354
15.1%
4 275
11.7%
5 275
11.7%
1 242
10.3%
8 189
8.1%
6 179
7.6%
7 171
7.3%
2 171
7.3%
9 99
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 468
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2813
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 468
16.6%
0 390
13.9%
3 354
12.6%
4 275
9.8%
5 275
9.8%
1 242
8.6%
8 189
6.7%
6 179
 
6.4%
7 171
 
6.1%
2 171
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2813
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 468
16.6%
0 390
13.9%
3 354
12.6%
4 275
9.8%
5 275
9.8%
1 242
8.6%
8 189
6.7%
6 179
 
6.4%
7 171
 
6.1%
2 171
 
6.1%

전기차 충전소
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
O
212 
X
25 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 212
89.5%
X 25
 
10.5%

Length

2023-12-12T19:32:05.514765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:32:05.647999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 212
89.5%
x 25
 
10.5%

수소차 충전소
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
X
211 
O
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
X 211
89.0%
O 26
 
11.0%

Length

2023-12-12T19:32:05.789292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:32:05.905988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 211
89.0%
o 26
 
11.0%

Correlations

2023-12-12T19:32:05.980865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전기차 충전소수소차 충전소
전기차 충전소1.0000.116
수소차 충전소0.1161.000
2023-12-12T19:32:06.093815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수소차 충전소전기차 충전소
수소차 충전소1.0000.074
전기차 충전소0.0741.000
2023-12-12T19:32:06.206380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전기차 충전소수소차 충전소
전기차 충전소1.0000.074
수소차 충전소0.0741.000

Missing values

2023-12-12T19:32:03.844975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:32:03.934773image/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

주유소명전화번호전기차 충전소수소차 충전소
0황전(광양)주유소061-782-1737OX
1황전(전주)주유소061-782-1701OX
2행담도(시흥)주유소041-357-8141OX
3행담도(목포)주유소041-357-8141OX
4통도사(부산)주유소055-372-6163OX
5서울하이패스센터쉼터충전소031-714-7255XX
6보성녹차(광양)주유소070-4325-8805OX
7보성녹차(목포)주유소070-4325-8800OX
8옥천만남의광장주유소043-732-0081OX
9마장복합(하남)주유소031-630-0051OX
주유소명전화번호전기차 충전소수소차 충전소
227김해(기장)주유소055-312-2862OX
228매송(서울)주유소031-295-1509OX
229매송(목포)주유소031-296-1509OX
230구리(일산)주유소031-528-3002OX
231평택(평택)주유소070-4172-8085OX
232평택(제천)주유소070-4172-8087OX
233장흥정남진(영암)주유소061-864-5008XX
234장흥정남진(순천)주유소061-864-5008XX
235울주(울산)주유소052-977-2243XX
236울주(함양)주유소052-977-3243XX