Overview

Dataset statistics

Number of variables5
Number of observations321
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.0 KiB
Average record size in memory41.4 B

Variable types

Text2
Categorical3

Dataset

Description대구광역시에서 직접 구축한 전기차 충전기 구축 현황자료 입니다.충전소명, 충전소내 연번, 충전기타입, 주소, 이용가능시간 등의 내용을 포함합니다.
Author대구광역시
URLhttps://www.data.go.kr/data/15086278/fileData.do

Alerts

충전기 형태 is highly overall correlated with 충전기 용량High correlation
충전기 용량 is highly overall correlated with 충전기 형태High correlation

Reproduction

Analysis started2024-03-14 18:48:34.924909
Analysis finished2024-03-14 18:48:35.953434
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

충전소명
Text

Distinct217
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T03:48:36.563008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length9.8411215
Min length3

Characters and Unicode

Total characters3159
Distinct characters243
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)50.8%

Sample

1st rowDTC섬유박물관
2nd row갓바위공영3주차장
3rd row갓바위공영3주차장
4th row갓바위공영3주차장
5th row갓바위공영5주차장
ValueCountFrequency (%)
공영주차장 13
 
3.7%
대구국가산업단지 10
 
2.8%
2 5
 
1.4%
대구시_유가읍행정복지센터 5
 
1.4%
대구시_대구유통단지전자관 5
 
1.4%
1 5
 
1.4%
충전인프라관제센터 4
 
1.1%
시설안전관리사업소 4
 
1.1%
시청별관 4
 
1.1%
성서체육공원주차장 4
 
1.1%
Other values (217) 293
83.2%
2024-03-15T03:48:38.109625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 201
 
6.4%
대 187
 
5.9%
지 144
 
4.6%
시 138
 
4.4%
_ 110
 
3.5%
동 104
 
3.3%
터 103
 
3.3%
공 103
 
3.3%
센 102
 
3.2%
복 88
 
2.8%
Other values (233) 1879
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2881
91.2%
Connector Punctuation 110
 
3.5%
Decimal Number 86
 
2.7%
Space Separator 31
 
1.0%
Close Punctuation 21
 
0.7%
Open Punctuation 21
 
0.7%
Uppercase Letter 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 201
 
7.0%
대 187
 
6.5%
지 144
 
5.0%
시 138
 
4.8%
동 104
 
3.6%
터 103
 
3.6%
공 103
 
3.6%
센 102
 
3.5%
복 88
 
3.1%
행 87
 
3.0%
Other values (217) 1624
56.4%
Decimal Number
ValueCountFrequency (%)
2 31
36.0%
1 31
36.0%
3 16
18.6%
4 5
 
5.8%
5 2
 
2.3%
9 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
33.3%
I 2
22.2%
D 1
 
11.1%
T 1
 
11.1%
K 1
 
11.1%
S 1
 
11.1%
Connector Punctuation
ValueCountFrequency (%)
_ 110
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2881
91.2%
Common 269
 
8.5%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 201
 
7.0%
대 187
 
6.5%
지 144
 
5.0%
시 138
 
4.8%
동 104
 
3.6%
터 103
 
3.6%
공 103
 
3.6%
센 102
 
3.5%
복 88
 
3.1%
행 87
 
3.0%
Other values (217) 1624
56.4%
Common
ValueCountFrequency (%)
_ 110
40.9%
2 31
 
11.5%
31
 
11.5%
1 31
 
11.5%
) 21
 
7.8%
( 21
 
7.8%
3 16
 
5.9%
4 5
 
1.9%
5 2
 
0.7%
9 1
 
0.4%
Latin
ValueCountFrequency (%)
C 3
33.3%
I 2
22.2%
D 1
 
11.1%
T 1
 
11.1%
K 1
 
11.1%
S 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2881
91.2%
ASCII 278
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 201
 
7.0%
대 187
 
6.5%
지 144
 
5.0%
시 138
 
4.8%
동 104
 
3.6%
터 103
 
3.6%
공 103
 
3.6%
센 102
 
3.5%
복 88
 
3.1%
행 87
 
3.0%
Other values (217) 1624
56.4%
ASCII
ValueCountFrequency (%)
_ 110
39.6%
2 31
 
11.2%
31
 
11.2%
1 31
 
11.2%
) 21
 
7.6%
( 21
 
7.6%
3 16
 
5.8%
4 5
 
1.8%
C 3
 
1.1%
5 2
 
0.7%
Other values (6) 7
 
2.5%

주소
Text

Distinct217
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T03:48:39.280030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length34.133956
Min length14

Characters and Unicode

Total characters10957
Distinct characters271
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)50.8%

Sample

1st row대구광역시 동구 팔공로 227DTC섬유박물관(봉무동 1560-1)
2nd row대구광역시 동구 갓바위로 227갓바위공영3주차장(진인동 123-74 갓바위공영3주차장)
3rd row대구광역시 동구 갓바위로 227갓바위공영3주차장(진인동 123-74 갓바위공영3주차장)
4th row대구광역시 동구 갓바위로 227갓바위공영3주차장(진인동 123-74 갓바위공영3주차장)
5th row대구광역시 동구 갓바위로 223-35갓바위공영5주차장(진인동 123-12 갓바위공영5주차장)
ValueCountFrequency (%)
대구광역시 319
 
19.1%
수성구 59
 
3.5%
북구 59
 
3.5%
달서구 58
 
3.5%
달성군 43
 
2.6%
동구 41
 
2.5%
서구 31
 
1.9%
중구 18
 
1.1%
행정복지센터 18
 
1.1%
구지면 14
 
0.8%
Other values (597) 1013
60.5%
2024-03-15T03:48:40.778026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1352
 
12.3%
구 744
 
6.8%
대 473
 
4.3%
1 416
 
3.8%
시 369
 
3.4%
동 345
 
3.1%
역 333
 
3.0%
광 323
 
2.9%
2 314
 
2.9%
로 307
 
2.8%
Other values (261) 5981
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6994
63.8%
Decimal Number 1932
 
17.6%
Space Separator 1352
 
12.3%
Open Punctuation 240
 
2.2%
Close Punctuation 240
 
2.2%
Dash Punctuation 166
 
1.5%
Connector Punctuation 15
 
0.1%
Other Punctuation 9
 
0.1%
Uppercase Letter 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 744
 
10.6%
대 473
 
6.8%
시 369
 
5.3%
동 345
 
4.9%
역 333
 
4.8%
광 323
 
4.6%
로 307
 
4.4%
지 165
 
2.4%
성 157
 
2.2%
서 148
 
2.1%
Other values (239) 3630
51.9%
Decimal Number
ValueCountFrequency (%)
1 416
21.5%
2 314
16.3%
3 193
10.0%
4 167
8.6%
5 159
 
8.2%
0 154
 
8.0%
6 140
 
7.2%
8 139
 
7.2%
7 129
 
6.7%
9 121
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
C 3
33.3%
I 2
22.2%
T 1
 
11.1%
D 1
 
11.1%
S 1
 
11.1%
K 1
 
11.1%
Space Separator
ValueCountFrequency (%)
1352
100.0%
Open Punctuation
ValueCountFrequency (%)
( 240
100.0%
Close Punctuation
ValueCountFrequency (%)
) 240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6994
63.8%
Common 3954
36.1%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 744
 
10.6%
대 473
 
6.8%
시 369
 
5.3%
동 345
 
4.9%
역 333
 
4.8%
광 323
 
4.6%
로 307
 
4.4%
지 165
 
2.4%
성 157
 
2.2%
서 148
 
2.1%
Other values (239) 3630
51.9%
Common
ValueCountFrequency (%)
1352
34.2%
1 416
 
10.5%
2 314
 
7.9%
( 240
 
6.1%
) 240
 
6.1%
3 193
 
4.9%
4 167
 
4.2%
- 166
 
4.2%
5 159
 
4.0%
0 154
 
3.9%
Other values (6) 553
14.0%
Latin
ValueCountFrequency (%)
C 3
33.3%
I 2
22.2%
T 1
 
11.1%
D 1
 
11.1%
S 1
 
11.1%
K 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6994
63.8%
ASCII 3963
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1352
34.1%
1 416
 
10.5%
2 314
 
7.9%
( 240
 
6.1%
) 240
 
6.1%
3 193
 
4.9%
4 167
 
4.2%
- 166
 
4.2%
5 159
 
4.0%
0 154
 
3.9%
Other values (12) 562
14.2%
Hangul
ValueCountFrequency (%)
구 744
 
10.6%
대 473
 
6.8%
시 369
 
5.3%
동 345
 
4.9%
역 333
 
4.8%
광 323
 
4.6%
로 307
 
4.4%
지 165
 
2.4%
성 157
 
2.2%
서 148
 
2.1%
Other values (239) 3630
51.9%

ID
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
1
216 
2
55 
3
27 
4
 
17
5
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 216
67.3%
2 55
 
17.1%
3 27
 
8.4%
4 17
 
5.3%
5 6
 
1.9%

Length

2024-03-15T03:48:41.194917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:48:41.519159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 216
67.3%
2 55
 
17.1%
3 27
 
8.4%
4 17
 
5.3%
5 6
 
1.9%

충전기 형태
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
DC차데모+AC3상+DC콤보
167 
AC완속
148 
DC콤보
 
6

Length

Max length15
Median length15
Mean length9.7227414
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDC차데모+AC3상+DC콤보
2nd rowAC완속
3rd rowAC완속
4th rowAC완속
5th rowDC차데모+AC3상+DC콤보

Common Values

ValueCountFrequency (%)
DC차데모+AC3상+DC콤보 167
52.0%
AC완속 148
46.1%
DC콤보 6
 
1.9%

Length

2024-03-15T03:48:41.908748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:48:42.235834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dc차데모+ac3상+dc콤보 167
52.0%
ac완속 148
46.1%
dc콤보 6
 
1.9%

충전기 용량
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
7kW
140 
50kW
136 
100kW
31 
7KW
 
8
100KW
 
4
Other values (2)
 
2

Length

Max length5
Median length4
Mean length3.6479751
Min length3

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row50kW
2nd row7kW
3rd row7kW
4th row7kW
5th row50kW

Common Values

ValueCountFrequency (%)
7kW 140
43.6%
50kW 136
42.4%
100kW 31
 
9.7%
7KW 8
 
2.5%
100KW 4
 
1.2%
<NA> 1
 
0.3%
50KW 1
 
0.3%

Length

2024-03-15T03:48:42.595573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:48:42.916383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7kw 148
46.1%
50kw 137
42.7%
100kw 35
 
10.9%
na 1
 
0.3%

Correlations

2024-03-15T03:48:43.158037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ID충전기 형태충전기 용량
ID1.0000.4500.373
충전기 형태0.4501.0000.961
충전기 용량0.3730.9611.000
2024-03-15T03:48:43.404375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ID충전기 형태충전기 용량
ID1.0000.3810.263
충전기 형태0.3811.0000.755
충전기 용량0.2630.7551.000
2024-03-15T03:48:43.647364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ID충전기 형태충전기 용량
ID1.0000.3810.263
충전기 형태0.3811.0000.755
충전기 용량0.2630.7551.000

Missing values

2024-03-15T03:48:35.512924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:48:35.829715image/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

충전소명주소ID충전기 형태충전기 용량
0DTC섬유박물관대구광역시 동구 팔공로 227DTC섬유박물관(봉무동 1560-1)1DC차데모+AC3상+DC콤보50kW
1갓바위공영3주차장대구광역시 동구 갓바위로 227갓바위공영3주차장(진인동 123-74 갓바위공영3주차장)1AC완속7kW
2갓바위공영3주차장대구광역시 동구 갓바위로 227갓바위공영3주차장(진인동 123-74 갓바위공영3주차장)2AC완속7kW
3갓바위공영3주차장대구광역시 동구 갓바위로 227갓바위공영3주차장(진인동 123-74 갓바위공영3주차장)3AC완속7kW
4갓바위공영5주차장대구광역시 동구 갓바위로 223-35갓바위공영5주차장(진인동 123-12 갓바위공영5주차장)1DC차데모+AC3상+DC콤보50kW
5국채보상운동기념공원주차장대구광역시 중구 국채보상로 670국채보상운동기념공원주차장(동인동2가 42)1AC완속7kW
6국채보상운동기념공원주차장대구광역시 중구 국채보상로 670국채보상운동기념공원주차장(동인동2가 42)2AC완속7kW
7국채보상운동기념공원주차장대구광역시 중구 국채보상로 670국채보상운동기념공원주차장(동인동2가 42)3AC완속7kW
8논공읍논공공단출장소대구광역시 달성군 논공읍 논공중앙로33길 3논공읍 논공공단출장소(북리 1-130)1DC차데모+AC3상+DC콤보50kW
9농수산물도매시장대구광역시 북구 매천로18길 34농수산물도매시장(매천동 527-3)1DC차데모+AC3상+DC콤보50kW
충전소명주소ID충전기 형태충전기 용량
311대구국가산업단지 공영주차장 1대구광역시 달성군 구지면 응암리 1266-191DC차데모+AC3상+DC콤보50kW
312대구국가산업단지 공영주차장 1대구광역시 달성군 구지면 응암리 1266-192AC완속7kW
313대구국가산업단지 공영주차장 1대구광역시 달성군 구지면 응암리 1266-193AC완속7kW
314대구국가산업단지 공영주차장 1대구광역시 달성군 구지면 응암리 1266-194AC완속7kW
315대구국가산업단지 공영주차장 1대구광역시 달성군 구지면 응암리 1266-195AC완속7kW
316대구국가산업단지 공영주차장 2대구광역시 달성군 구지면 응암리 1282-171DC차데모+AC3상+DC콤보50kW
317대구국가산업단지 공영주차장 2대구광역시 달성군 구지면 응암리 1282-172AC완속7kW
318대구국가산업단지 공영주차장 2대구광역시 달성군 구지면 응암리 1282-173AC완속7kW
319대구국가산업단지 공영주차장 2대구광역시 달성군 구지면 응암리 1282-174AC완속7kW
320대구국가산업단지 공영주차장 2대구광역시 달성군 구지면 응암리 1282-175AC완속7kW