Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells12
Missing cells (%)< 0.1%
Duplicate rows4
Duplicate rows (%)< 0.1%
Total size in memory1.2 MiB
Average record size in memory121.0 B

Variable types

Categorical9
Text4
Numeric1

Dataset

Description전기차 충전소 정보 : 해당 데이터는 전국 전기차 충전기 운영현황(지역, 충전소명, 운영기관,충전기 타입 등) 자료입니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15121422/fileData.do

Alerts

Dataset has 4 (< 0.1%) duplicate rowsDuplicates
급속충전량 is highly overall correlated with 충전기ID and 5 other fieldsHigh correlation
충전기타입 is highly overall correlated with 기종(대) and 2 other fieldsHigh correlation
기종(대) is highly overall correlated with 시설구분(대) and 5 other fieldsHigh correlation
운영기관(소) is highly overall correlated with 기종(대) and 3 other fieldsHigh correlation
운영기관(대) is highly overall correlated with 기종(대) and 3 other fieldsHigh correlation
기종(소) is highly overall correlated with 기종(대) and 3 other fieldsHigh correlation
충전기ID is highly overall correlated with 급속충전량High correlation
시설구분(대) is highly overall correlated with 기종(대) and 1 other fieldsHigh correlation
이용자제한 is highly overall correlated with 시설구분(대) and 1 other fieldsHigh correlation
기종(소) is highly imbalanced (60.9%)Imbalance
급속충전량 is highly imbalanced (76.4%)Imbalance
충전기타입 is highly imbalanced (59.9%)Imbalance

Reproduction

Analysis started2024-04-20 23:20:31.902553
Analysis finished2024-04-20 23:20:36.088676
Duration4.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도
2415 
서울특별시
1503 
경상남도
668 
경상북도
656 
제주특별자치도
616 
Other values (12)
4142 

Length

Max length7
Median length5
Mean length4.3003
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도
2nd row광주광역시
3rd row전라남도
4th row경상남도
5th row서울특별시

Common Values

ValueCountFrequency (%)
경기도 2415
24.1%
서울특별시 1503
15.0%
경상남도 668
 
6.7%
경상북도 656
 
6.6%
제주특별자치도 616
 
6.2%
대구광역시 596
 
6.0%
강원도 419
 
4.2%
전라남도 410
 
4.1%
인천광역시 410
 
4.1%
부산광역시 406
 
4.1%
Other values (7) 1901
19.0%

Length

2024-04-21T08:20:36.229117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 2415
24.1%
서울특별시 1503
15.0%
경상남도 668
 
6.7%
경상북도 656
 
6.6%
제주특별자치도 616
 
6.2%
대구광역시 596
 
6.0%
강원도 419
 
4.2%
인천광역시 410
 
4.1%
전라남도 410
 
4.1%
부산광역시 406
 
4.1%
Other values (7) 1901
19.0%

군구
Text

Distinct207
Distinct (%)2.1%
Missing12
Missing (%)0.1%
Memory size156.2 KiB
2024-04-21T08:20:37.392535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0154185
Min length2

Characters and Unicode

Total characters30118
Distinct characters137
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

Unique3 ?
Unique (%)< 0.1%

Sample

1st row용인시
2nd row북구
3rd row강진군
4th row창원시
5th row강북구
ValueCountFrequency (%)
제주시 400
 
4.0%
북구 273
 
2.7%
고양시 257
 
2.6%
서구 243
 
2.4%
용인시 238
 
2.4%
서귀포시 212
 
2.1%
중구 189
 
1.9%
남양주시 172
 
1.7%
창원시 171
 
1.7%
성남시 170
 
1.7%
Other values (197) 7663
76.7%
2024-04-21T08:20:38.809541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 5551
18.4%
구 3690
 
12.3%
주 1540
 
5.1%
군 1187
 
3.9%
성 950
 
3.2%
서 871
 
2.9%
양 821
 
2.7%
남 799
 
2.7%
포 729
 
2.4%
천 725
 
2.4%
Other values (127) 13255
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30118
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5551
18.4%
구 3690
 
12.3%
주 1540
 
5.1%
군 1187
 
3.9%
성 950
 
3.2%
서 871
 
2.9%
양 821
 
2.7%
남 799
 
2.7%
포 729
 
2.4%
천 725
 
2.4%
Other values (127) 13255
44.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30118
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5551
18.4%
구 3690
 
12.3%
주 1540
 
5.1%
군 1187
 
3.9%
성 950
 
3.2%
서 871
 
2.9%
양 821
 
2.7%
남 799
 
2.7%
포 729
 
2.4%
천 725
 
2.4%
Other values (127) 13255
44.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30118
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 5551
18.4%
구 3690
 
12.3%
주 1540
 
5.1%
군 1187
 
3.9%
성 950
 
3.2%
서 871
 
2.9%
양 821
 
2.7%
남 799
 
2.7%
포 729
 
2.4%
천 725
 
2.4%
Other values (127) 13255
44.0%

주소
Text

Distinct7040
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T08:20:40.235453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length56
Mean length20.9169
Min length7

Characters and Unicode

Total characters209169
Distinct characters604
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5254 ?
Unique (%)52.5%

Sample

1st row경기도 용인시 수지구 진산로 24 (상현동, 성원상떼빌아파트)
2nd row광주광역시 북구 삼정로 108
3rd row전라남도 강진군 성전면 강진산단로1길 1
4th row경상남도 창원시 성산구 상남로 75
5th row서울특별시 강북구 오현로 128
ValueCountFrequency (%)
경기도 2415
 
5.2%
서울특별시 1503
 
3.3%
경상남도 670
 
1.4%
경상북도 657
 
1.4%
제주특별자치도 612
 
1.3%
대구광역시 596
 
1.3%
강원도 419
 
0.9%
인천광역시 410
 
0.9%
전라남도 407
 
0.9%
부산광역시 406
 
0.9%
Other values (9183) 38132
82.5%
2024-04-21T08:20:41.951140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36841
 
17.6%
시 9442
 
4.5%
로 8464
 
4.0%
1 7225
 
3.5%
도 6836
 
3.3%
구 6288
 
3.0%
2 4617
 
2.2%
경 4113
 
2.0%
동 3859
 
1.8%
3 3708
 
1.8%
Other values (594) 117776
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134525
64.3%
Space Separator 36841
 
17.6%
Decimal Number 33444
 
16.0%
Dash Punctuation 1379
 
0.7%
Open Punctuation 901
 
0.4%
Close Punctuation 901
 
0.4%
Other Punctuation 728
 
0.3%
Uppercase Letter 282
 
0.1%
Math Symbol 150
 
0.1%
Lowercase Letter 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9442
 
7.0%
로 8464
 
6.3%
도 6836
 
5.1%
구 6288
 
4.7%
경 4113
 
3.1%
동 3859
 
2.9%
길 3157
 
2.3%
서 3119
 
2.3%
광 2964
 
2.2%
남 2889
 
2.1%
Other values (546) 83394
62.0%
Uppercase Letter
ValueCountFrequency (%)
K 106
37.6%
T 100
35.5%
I 11
 
3.9%
E 9
 
3.2%
P 8
 
2.8%
A 8
 
2.8%
S 8
 
2.8%
L 6
 
2.1%
C 5
 
1.8%
B 4
 
1.4%
Other values (9) 17
 
6.0%
Decimal Number
ValueCountFrequency (%)
1 7225
21.6%
2 4617
13.8%
3 3708
11.1%
5 3068
9.2%
0 2983
8.9%
4 2763
 
8.3%
6 2567
 
7.7%
7 2499
 
7.5%
8 2054
 
6.1%
9 1960
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 4
22.2%
e 4
22.2%
k 3
16.7%
t 2
11.1%
z 2
11.1%
l 2
11.1%
h 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 714
98.1%
. 7
 
1.0%
/ 3
 
0.4%
？ 2
 
0.3%
: 1
 
0.1%
· 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 149
99.3%
∥ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
36841
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1379
100.0%
Open Punctuation
ValueCountFrequency (%)
( 901
100.0%
Close Punctuation
ValueCountFrequency (%)
) 901
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134525
64.3%
Common 74344
35.5%
Latin 300
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9442
 
7.0%
로 8464
 
6.3%
도 6836
 
5.1%
구 6288
 
4.7%
경 4113
 
3.1%
동 3859
 
2.9%
길 3157
 
2.3%
서 3119
 
2.3%
광 2964
 
2.2%
남 2889
 
2.1%
Other values (546) 83394
62.0%
Latin
ValueCountFrequency (%)
K 106
35.3%
T 100
33.3%
I 11
 
3.7%
E 9
 
3.0%
P 8
 
2.7%
A 8
 
2.7%
S 8
 
2.7%
L 6
 
2.0%
C 5
 
1.7%
B 4
 
1.3%
Other values (16) 35
 
11.7%
Common
ValueCountFrequency (%)
36841
49.6%
1 7225
 
9.7%
2 4617
 
6.2%
3 3708
 
5.0%
5 3068
 
4.1%
0 2983
 
4.0%
4 2763
 
3.7%
6 2567
 
3.5%
7 2499
 
3.4%
8 2054
 
2.8%
Other values (12) 6019
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134525
64.3%
ASCII 74640
35.7%
None 3
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36841
49.4%
1 7225
 
9.7%
2 4617
 
6.2%
3 3708
 
5.0%
5 3068
 
4.1%
0 2983
 
4.0%
4 2763
 
3.7%
6 2567
 
3.4%
7 2499
 
3.3%
8 2054
 
2.8%
Other values (35) 6315
 
8.5%
Hangul
ValueCountFrequency (%)
시 9442
 
7.0%
로 8464
 
6.3%
도 6836
 
5.1%
구 6288
 
4.7%
경 4113
 
3.1%
동 3859
 
2.9%
길 3157
 
2.3%
서 3119
 
2.3%
광 2964
 
2.2%
남 2889
 
2.1%
Other values (546) 83394
62.0%
None
ValueCountFrequency (%)
？ 2
66.7%
· 1
33.3%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

충전소명
Text

Distinct7251
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T08:20:42.795963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length10.0653
Min length1

Characters and Unicode

Total characters100653
Distinct characters767
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5531 ?
Unique (%)55.3%

Sample

1st row용인 성원상떼빌(1-1주차장)
2nd row두암현대1차
3rd row전라남도 환경산업진흥원
4th row위드필타워
5th row서울시 강북구 번동동문아파트
ValueCountFrequency (%)
아파트 370
 
2.5%
서울시 337
 
2.3%
전용 246
 
1.6%
주차장 154
 
1.0%
공영주차장 110
 
0.7%
이마트 67
 
0.4%
인천시 66
 
0.4%
전기차충전소 51
 
0.3%
용인시 50
 
0.3%
성남시 47
 
0.3%
Other values (8029) 13450
90.0%
2024-04-21T08:20:43.911048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4980
 
4.9%
트 3427
 
3.4%
아 3369
 
3.3%
파 3191
 
3.2%
지 2186
 
2.2%
시 2157
 
2.1%
주 2069
 
2.1%
차 1615
 
1.6%
동 1520
 
1.5%
스 1508
 
1.5%
Other values (757) 74631
74.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89396
88.8%
Space Separator 4980
 
4.9%
Decimal Number 3094
 
3.1%
Uppercase Letter 1327
 
1.3%
Close Punctuation 655
 
0.7%
Open Punctuation 654
 
0.6%
Lowercase Letter 279
 
0.3%
Dash Punctuation 124
 
0.1%
Connector Punctuation 77
 
0.1%
Other Symbol 40
 
< 0.1%
Other values (2) 27
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 3427
 
3.8%
아 3369
 
3.8%
파 3191
 
3.6%
지 2186
 
2.4%
시 2157
 
2.4%
주 2069
 
2.3%
차 1615
 
1.8%
동 1520
 
1.7%
스 1508
 
1.7%
이 1448
 
1.6%
Other values (688) 66906
74.8%
Uppercase Letter
ValueCountFrequency (%)
S 179
13.5%
C 131
9.9%
L 127
9.6%
K 127
9.6%
H 100
 
7.5%
E 94
 
7.1%
B 71
 
5.4%
T 65
 
4.9%
D 65
 
4.9%
I 63
 
4.7%
Other values (16) 305
23.0%
Lowercase Letter
ValueCountFrequency (%)
e 105
37.6%
t 26
 
9.3%
i 25
 
9.0%
p 21
 
7.5%
s 15
 
5.4%
k 14
 
5.0%
w 13
 
4.7%
r 11
 
3.9%
a 8
 
2.9%
c 6
 
2.2%
Other values (11) 35
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 970
31.4%
2 841
27.2%
3 396
12.8%
4 202
 
6.5%
5 164
 
5.3%
0 163
 
5.3%
6 123
 
4.0%
7 92
 
3.0%
9 73
 
2.4%
8 70
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 16
61.5%
. 5
 
19.2%
, 2
 
7.7%
· 2
 
7.7%
: 1
 
3.8%
Space Separator
ValueCountFrequency (%)
4980
100.0%
Close Punctuation
ValueCountFrequency (%)
) 655
100.0%
Open Punctuation
ValueCountFrequency (%)
( 654
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 77
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89435
88.9%
Common 9611
 
9.5%
Latin 1606
 
1.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 3427
 
3.8%
아 3369
 
3.8%
파 3191
 
3.6%
지 2186
 
2.4%
시 2157
 
2.4%
주 2069
 
2.3%
차 1615
 
1.8%
동 1520
 
1.7%
스 1508
 
1.7%
이 1448
 
1.6%
Other values (688) 66945
74.9%
Latin
ValueCountFrequency (%)
S 179
 
11.1%
C 131
 
8.2%
L 127
 
7.9%
K 127
 
7.9%
e 105
 
6.5%
H 100
 
6.2%
E 94
 
5.9%
B 71
 
4.4%
T 65
 
4.0%
D 65
 
4.0%
Other values (37) 542
33.7%
Common
ValueCountFrequency (%)
4980
51.8%
1 970
 
10.1%
2 841
 
8.8%
) 655
 
6.8%
( 654
 
6.8%
3 396
 
4.1%
4 202
 
2.1%
5 164
 
1.7%
0 163
 
1.7%
- 124
 
1.3%
Other values (11) 462
 
4.8%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89395
88.8%
ASCII 11215
 
11.1%
None 42
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4980
44.4%
1 970
 
8.6%
2 841
 
7.5%
) 655
 
5.8%
( 654
 
5.8%
3 396
 
3.5%
4 202
 
1.8%
S 179
 
1.6%
5 164
 
1.5%
0 163
 
1.5%
Other values (57) 2011
17.9%
Hangul
ValueCountFrequency (%)
트 3427
 
3.8%
아 3369
 
3.8%
파 3191
 
3.6%
지 2186
 
2.4%
시 2157
 
2.4%
주 2069
 
2.3%
차 1615
 
1.8%
동 1520
 
1.7%
스 1508
 
1.7%
이 1448
 
1.6%
Other values (687) 66905
74.8%
None
ValueCountFrequency (%)
㈜ 40
95.2%
· 2
 
4.8%
CJK
ValueCountFrequency (%)
家 1
100.0%

시설구분(대)
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공동주택시설
6017 
공공시설
1319 
상업시설
883 
주차시설
 
521
기타시설
 
332
Other values (5)
928 

Length

Max length6
Median length6
Mean length5.3212
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공동주택시설
2nd row공동주택시설
3rd row공공시설
4th row공동주택시설
5th row공동주택시설

Common Values

ValueCountFrequency (%)
공동주택시설 6017
60.2%
공공시설 1319
 
13.2%
상업시설 883
 
8.8%
주차시설 521
 
5.2%
기타시설 332
 
3.3%
교육문화시설 255
 
2.5%
근린생활시설 196
 
2.0%
관광시설 188
 
1.9%
휴게시설 151
 
1.5%
차량정비시설 138
 
1.4%

Length

2024-04-21T08:20:44.151107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:20:44.374439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동주택시설 6017
60.2%
공공시설 1319
 
13.2%
상업시설 883
 
8.8%
주차시설 521
 
5.2%
기타시설 332
 
3.3%
교육문화시설 255
 
2.5%
근린생활시설 196
 
2.0%
관광시설 188
 
1.9%
휴게시설 151
 
1.5%
차량정비시설 138
 
1.4%

시설구분(소)
Text

Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T08:20:44.983841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.7214
Min length2

Characters and Unicode

Total characters37214
Distinct characters98
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

Unique0 ?
Unique (%)0.0%

Sample

1st row아파트
2nd row아파트
3rd row공공기관
4th row기타
5th row아파트
ValueCountFrequency (%)
아파트 5295
52.2%
사업장(사옥 683
 
6.7%
공공기관 445
 
4.4%
주민센터 406
 
4.0%
숙박시설 363
 
3.6%
공영주차장 319
 
3.1%
기타 319
 
3.1%
지자체시설 291
 
2.9%
마트(쇼핑몰 277
 
2.7%
관공서 174
 
1.7%
Other values (45) 1568
 
15.5%
2024-04-21T08:20:45.814046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 5572
15.0%
아 5295
14.2%
파 5295
14.2%
공 1526
 
4.1%
사 1370
 
3.7%
장 1365
 
3.7%
( 1029
 
2.8%
) 1029
 
2.8%
주 980
 
2.6%
기 836
 
2.2%
Other values (88) 12917
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34878
93.7%
Open Punctuation 1029
 
2.8%
Close Punctuation 1029
 
2.8%
Space Separator 140
 
0.4%
Uppercase Letter 138
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 5572
16.0%
아 5295
15.2%
파 5295
15.2%
공 1526
 
4.4%
사 1370
 
3.9%
장 1365
 
3.9%
주 980
 
2.8%
기 836
 
2.4%
관 805
 
2.3%
시 697
 
2.0%
Other values (84) 11137
31.9%
Open Punctuation
ValueCountFrequency (%)
( 1029
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1029
100.0%
Space Separator
ValueCountFrequency (%)
140
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34878
93.7%
Common 2198
 
5.9%
Latin 138
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 5572
16.0%
아 5295
15.2%
파 5295
15.2%
공 1526
 
4.4%
사 1370
 
3.9%
장 1365
 
3.9%
주 980
 
2.8%
기 836
 
2.4%
관 805
 
2.3%
시 697
 
2.0%
Other values (84) 11137
31.9%
Common
ValueCountFrequency (%)
( 1029
46.8%
) 1029
46.8%
140
 
6.4%
Latin
ValueCountFrequency (%)
C 138
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34878
93.7%
ASCII 2336
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 5572
16.0%
아 5295
15.2%
파 5295
15.2%
공 1526
 
4.4%
사 1370
 
3.9%
장 1365
 
3.9%
주 980
 
2.8%
기 836
 
2.4%
관 805
 
2.3%
시 697
 
2.0%
Other values (84) 11137
31.9%
ASCII
ValueCountFrequency (%)
( 1029
44.0%
) 1029
44.0%
140
 
6.0%
C 138
 
5.9%

기종(대)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
완속
7480 
급속
2520 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row완속
2nd row완속
3rd row급속
4th row완속
5th row완속

Common Values

ValueCountFrequency (%)
완속 7480
74.8%
급속 2520
 
25.2%

Length

2024-04-21T08:20:46.025205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:20:46.186469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완속 7480
74.8%
급속 2520
 
25.2%

기종(소)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
AC완속
7480 
DC콤보
 
681
DC차데모+AC3상+DC콤보
 
647
급속(100kW단독)
 
392
급속(200kW동시)
 
354
Other values (9)
 
446

Length

Max length15
Median length4
Mean length5.4822
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowAC완속
2nd rowAC완속
3rd rowDC콤보
4th rowAC완속
5th rowAC완속

Common Values

ValueCountFrequency (%)
AC완속 7480
74.8%
DC콤보 681
 
6.8%
DC차데모+AC3상+DC콤보 647
 
6.5%
급속(100kW단독) 392
 
3.9%
급속(200kW동시) 354
 
3.5%
급속(50kW) 153
 
1.5%
DC차데모+DC콤보 128
 
1.3%
급속(100kW멀티) 78
 
0.8%
급속(100kW동시) 56
 
0.6%
급속(400kW동시) 16
 
0.2%
Other values (4) 15
 
0.1%

Length

2024-04-21T08:20:46.364052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ac완속 7480
74.8%
dc콤보 681
 
6.8%
dc차데모+ac3상+dc콤보 647
 
6.5%
급속(100kw단독 392
 
3.9%
급속(200kw동시 354
 
3.5%
급속(50kw 153
 
1.5%
dc차데모+dc콤보 128
 
1.3%
급속(100kw멀티 78
 
0.8%
급속(100kw동시 56
 
0.6%
급속(400kw동시 16
 
0.2%
Other values (4) 15
 
0.1%

운영기관(대)
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
타기관
4650 
타기관(보조금)
4182 
환경부
1054 
지자체
 
114

Length

Max length8
Median length3
Mean length5.091
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row타기관(보조금)
2nd row타기관
3rd row타기관
4th row타기관(보조금)
5th row타기관(보조금)

Common Values

ValueCountFrequency (%)
타기관 4650
46.5%
타기관(보조금) 4182
41.8%
환경부 1054
 
10.5%
지자체 114
 
1.1%

Length

2024-04-21T08:20:46.577833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:20:46.895507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
타기관 4650
46.5%
타기관(보조금 4182
41.8%
환경부 1054
 
10.5%
지자체 114
 
1.1%

운영기관(소)
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
지에스커넥트
2751 
차지비
2306 
한국전력
1650 
환경부(협회)
1054 
한국전기차충전서비스
763 
Other values (27)
1476 

Length

Max length11
Median length10
Mean length5.5118
Min length3

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row에버온
2nd row한국전력
3rd row한국전력
4th row차지비
5th row차지비

Common Values

ValueCountFrequency (%)
지에스커넥트 2751
27.5%
차지비 2306
23.1%
한국전력 1650
16.5%
환경부(협회) 1054
 
10.5%
한국전기차충전서비스 763
 
7.6%
SK일렉링크 661
 
6.6%
제주전기자동차서비스 369
 
3.7%
제주특별자치도 98
 
1.0%
에버온 80
 
0.8%
현대자동차 40
 
0.4%
Other values (22) 228
 
2.3%

Length

2024-04-21T08:20:47.300365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지에스커넥트 2751
27.5%
차지비 2306
23.1%
한국전력 1650
16.5%
환경부(협회 1054
 
10.5%
한국전기차충전서비스 763
 
7.6%
sk일렉링크 661
 
6.6%
제주전기자동차서비스 369
 
3.7%
제주특별자치도 98
 
1.0%
에버온 80
 
0.8%
현대자동차 40
 
0.4%
Other values (22) 228
 
2.3%

급속충전량
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8946 
급속(100kW단독)
 
392
급속(200kW동시)
 
354
급속(50kW)
 
153
급속(100kW멀티)
 
78
Other values (3)
 
77

Length

Max length12
Median length4
Mean length4.6924
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8946
89.5%
급속(100kW단독) 392
 
3.9%
급속(200kW동시) 354
 
3.5%
급속(50kW) 153
 
1.5%
급속(100kW멀티) 78
 
0.8%
급속(100kW동시) 56
 
0.6%
급속(400kW동시) 16
 
0.2%
초급속(350kW단독) 5
 
0.1%

Length

2024-04-21T08:20:47.736578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:20:48.093929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8946
89.5%
급속(100kw단독 392
 
3.9%
급속(200kw동시 354
 
3.5%
급속(50kw 153
 
1.5%
급속(100kw멀티 78
 
0.8%
급속(100kw동시 56
 
0.6%
급속(400kw동시 16
 
0.2%
초급속(350kw단독 5
 
< 0.1%

충전기타입
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
AC완속
7480 
DC콤보
1489 
DC차데모+AC3상+DC콤보
893 
DC차데모+DC콤보
 
128
AC3상
 
7
Other values (2)
 
3

Length

Max length15
Median length4
Mean length5.0604
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowAC완속
2nd rowAC완속
3rd rowDC콤보
4th rowAC완속
5th rowAC완속

Common Values

ValueCountFrequency (%)
AC완속 7480
74.8%
DC콤보 1489
 
14.9%
DC차데모+AC3상+DC콤보 893
 
8.9%
DC차데모+DC콤보 128
 
1.3%
AC3상 7
 
0.1%
DC차데모+AC3상 2
 
< 0.1%
DC차데모 1
 
< 0.1%

Length

2024-04-21T08:20:48.486731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:20:48.814985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ac완속 7480
74.8%
dc콤보 1489
 
14.9%
dc차데모+ac3상+dc콤보 893
 
8.9%
dc차데모+dc콤보 128
 
1.3%
ac3상 7
 
0.1%
dc차데모+ac3상 2
 
< 0.1%
dc차데모 1
 
< 0.1%

이용자제한
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
이용가능
5274 
이용자제한
4726 

Length

Max length5
Median length4
Mean length4.4726
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이용가능
2nd row이용자제한
3rd row이용가능
4th row이용가능
5th row이용가능

Common Values

ValueCountFrequency (%)
이용가능 5274
52.7%
이용자제한 4726
47.3%

Length

2024-04-21T08:20:49.202788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T08:20:49.506631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이용가능 5274
52.7%
이용자제한 4726
47.3%

충전기ID
Real number (ℝ)

HIGH CORRELATION 

Distinct72
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7133
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T08:20:49.849041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile22
Maximum97
Range96
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.6750433
Coefficient of variation (CV)1.6934247
Kurtosis32.312259
Mean5.7133
Median Absolute Deviation (MAD)1
Skewness4.8559489
Sum57133
Variance93.606464
MonotonicityNot monotonic
2024-04-21T08:20:50.183082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3250
32.5%
2 1937
19.4%
3 1043
 
10.4%
4 730
 
7.3%
5 491
 
4.9%
6 360
 
3.6%
7 234
 
2.3%
8 226
 
2.3%
11 193
 
1.9%
12 169
 
1.7%
Other values (62) 1367
13.7%
ValueCountFrequency (%)
1 3250
32.5%
2 1937
19.4%
3 1043
 
10.4%
4 730
 
7.3%
5 491
 
4.9%
6 360
 
3.6%
7 234
 
2.3%
8 226
 
2.3%
9 169
 
1.7%
10 146
 
1.5%
ValueCountFrequency (%)
97 1
 
< 0.1%
94 1
 
< 0.1%
93 1
 
< 0.1%
92 4
 
< 0.1%
91 36
0.4%
85 1
 
< 0.1%
82 3
 
< 0.1%
81 2
 
< 0.1%
80 1
 
< 0.1%
75 1
 
< 0.1%

Interactions

2024-04-21T08:20:35.277151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T08:20:50.359631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도시설구분(대)시설구분(소)기종(대)기종(소)운영기관(대)운영기관(소)급속충전량충전기타입이용자제한충전기ID
시도1.0000.3380.4520.2290.2560.4400.5520.2020.2300.2660.139
시설구분(대)0.3381.0001.0000.7580.5590.5350.6430.3820.4670.7440.304
시설구분(소)0.4521.0001.0000.7970.6780.6720.7990.5160.6090.7430.369
기종(대)0.2290.7580.7971.0001.0000.8790.883NaN1.0000.5520.316
기종(소)0.2560.5590.6781.0001.0000.8250.7581.0001.0000.5190.738
운영기관(대)0.4400.5350.6720.8790.8251.0000.989NaN0.5720.5080.428
운영기관(소)0.5520.6430.7990.8830.7580.9891.000NaN0.6740.7460.425
급속충전량0.2020.3820.516NaN1.000NaNNaN1.0000.9000.0800.919
충전기타입0.2300.4670.6091.0001.0000.5720.6740.9001.0000.3650.293
이용자제한0.2660.7440.7430.5520.5190.5080.7460.0800.3651.0000.147
충전기ID0.1390.3040.3690.3160.7380.4280.4250.9190.2930.1471.000
2024-04-21T08:20:50.597986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급속충전량충전기타입기종(대)시도운영기관(소)운영기관(대)시설구분(대)기종(소)이용자제한
급속충전량1.0000.9641.0000.0921.0001.0000.2041.0000.085
충전기타입0.9641.0001.0000.1050.3560.4320.2590.9980.391
기종(대)1.0001.0001.0000.2060.7490.6840.5960.9990.372
시도0.0920.1050.2061.0000.1840.2590.1380.0900.239
운영기관(소)1.0000.3560.7490.1841.0000.8760.2870.3390.610
운영기관(대)1.0000.4320.6840.2590.8761.0000.3490.6330.345
시설구분(대)0.2040.2590.5960.1380.2870.3491.0000.2640.584
기종(소)1.0000.9980.9990.0900.3390.6330.2641.0000.408
이용자제한0.0850.3910.3720.2390.6100.3450.5840.4081.000
2024-04-21T08:20:50.812459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전기ID시도시설구분(대)기종(대)기종(소)운영기관(대)운영기관(소)급속충전량충전기타입이용자제한
충전기ID1.0000.0540.0970.2420.4110.2690.1640.5770.1530.113
시도0.0541.0000.1380.2060.0900.2590.1840.0920.1050.239
시설구분(대)0.0970.1381.0000.5960.2640.3490.2870.2040.2590.584
기종(대)0.2420.2060.5961.0000.9990.6840.7491.0001.0000.372
기종(소)0.4110.0900.2640.9991.0000.6330.3391.0000.9980.408
운영기관(대)0.2690.2590.3490.6840.6331.0000.8761.0000.4320.345
운영기관(소)0.1640.1840.2870.7490.3390.8761.0001.0000.3560.610
급속충전량0.5770.0920.2041.0001.0001.0001.0001.0000.9640.085
충전기타입0.1530.1050.2591.0000.9980.4320.3560.9641.0000.391
이용자제한0.1130.2390.5840.3720.4080.3450.6100.0850.3911.000

Missing values

2024-04-21T08:20:35.600980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T08:20:35.940660image/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

시도군구주소충전소명시설구분(대)시설구분(소)기종(대)기종(소)운영기관(대)운영기관(소)급속충전량충전기타입이용자제한충전기ID
65099경기도용인시경기도 용인시 수지구 진산로 24 (상현동, 성원상떼빌아파트)용인 성원상떼빌(1-1주차장)공동주택시설아파트완속AC완속타기관(보조금)에버온<NA>AC완속이용가능1
16546광주광역시북구광주광역시 북구 삼정로 108두암현대1차공동주택시설아파트완속AC완속타기관한국전력<NA>AC완속이용자제한3
21243전라남도강진군전라남도 강진군 성전면 강진산단로1길 1전라남도 환경산업진흥원공공시설공공기관급속DC콤보타기관한국전력<NA>DC콤보이용가능1
33938경상남도창원시경상남도 창원시 성산구 상남로 75위드필타워공동주택시설기타완속AC완속타기관(보조금)차지비<NA>AC완속이용가능2
29919서울특별시강북구서울특별시 강북구 오현로 128서울시 강북구 번동동문아파트공동주택시설아파트완속AC완속타기관(보조금)차지비<NA>AC완속이용가능1
29276서울특별시강동구서울특별시 강동구 올림픽로89길 57서울시 강동구 강변그대가리버뷰공동주택시설아파트완속AC완속타기관(보조금)차지비<NA>AC완속이용자제한1
48606부산광역시해운대구부산광역시 해운대구 마린시티2로 33해운대 두산위브제니스공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한9
61871경기도안산시경기도 안산시 단원구 광덕1로 80호수마을풍림아파트공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한14
28774경기도포천시경기도 포천시 신북면 호국로 2135-14 (기지리, 포천윤중후레쉬빌아파트) 101동~106동포천윤중아파트공동주택시설아파트완속AC완속타기관(보조금)차지비<NA>AC완속이용가능2
42684대구광역시동구대구광역시 동구 효동로2길 24아양아트센터교육문화시설공연장급속DC차데모+AC3상+DC콤보타기관대구환경공단<NA>DC차데모+AC3상+DC콤보이용가능1
시도군구주소충전소명시설구분(대)시설구분(소)기종(대)기종(소)운영기관(대)운영기관(소)급속충전량충전기타입이용자제한충전기ID
51118부산광역시해운대구부산광역시 해운대구 대천로 225해운대두산2차아파트공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한3
40814전라남도장흥군전라남도 장흥군 장흥읍 평화우산길 212-43장흥군 전남소방학교공공시설공공기관완속AC완속타기관차지비<NA>AC완속이용가능2
21711경기도고양시경기도 고양시 일산동구 무궁화로 76번길 12, 1층양지마을 1단지공동주택시설아파트완속AC완속타기관(보조금)한국전기차충전서비스<NA>AC완속이용자제한1
2104부산광역시북구부산광역시 북구 화명대로 47(화명동)롯데마트 화명점상업시설마트(쇼핑몰)급속급속(100kW멀티)환경부환경부(협회)급속(100kW멀티)DC차데모+AC3상+DC콤보이용가능1
39989경상남도하동군경상남도 하동군 고전면 전도2길 4하동군 전도마을회관공공시설지자체시설완속AC완속타기관(보조금)차지비<NA>AC완속이용가능2
19727강원도춘천시강원도 춘천시 동면 장학리 988LH해온채아파트공동주택시설아파트완속AC완속타기관한국전력<NA>AC완속이용자제한8
64916경기도화성시경기도 화성시 남양읍 현대기아로 95현대파워텍공동주택시설사업장(사옥)완속AC완속타기관지에스커넥트<NA>AC완속이용자제한1
49363서울특별시용산구서울특별시 용산구 백범로 313용산롯데캐슬센터포레아파트공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한8
34032대구광역시달서구대구광역시 달서구 대명천로 250영남네오빌비스타공동주택시설아파트완속AC완속타기관(보조금)차지비<NA>AC완속이용가능1
53064경기도시흥시경기도 시흥시 비둘기공원7길 27은행서해아파트공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한5

Duplicate rows

Most frequently occurring

시도군구주소충전소명시설구분(대)시설구분(소)기종(대)기종(소)운영기관(대)운영기관(소)급속충전량충전기타입이용자제한충전기ID# duplicates
0경기도고양시경기도 고양시 덕양구 토당로 123고양대림아파트공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한42
1부산광역시강서구부산광역시 강서구 명지오션시티2로 71명지극동스타클래스공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한22
2부산광역시강서구부산광역시 강서구 명지오션시티2로 71명지극동스타클래스공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한132
3인천광역시남동구인천광역시 남동구 은봉로165번길 24휴먼시아1단지숲속마을공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한22