Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells10
Missing cells (%)< 0.1%
Duplicate rows6
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.
URLhttps://www.data.go.kr/data/15121443/fileData.do

Alerts

Dataset has 6 (0.1%) duplicate rowsDuplicates
기종(대) is highly overall correlated with 시설구분(대) and 5 other fieldsHigh correlation
기종(소) is highly overall correlated with 기종(대) and 3 other fieldsHigh correlation
충전기타입 is highly overall correlated with 기종(대) and 2 other fieldsHigh correlation
급속충전량 is highly overall correlated with 충전기ID 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
운영기관(대) is highly overall correlated with 기종(대) and 2 other fieldsHigh correlation
운영기관(소) is highly overall correlated with 기종(대) and 2 other fieldsHigh correlation
이용자제한 is highly overall correlated with 시설구분(대) and 1 other fieldsHigh correlation
기종(소) is highly imbalanced (59.8%)Imbalance
급속충전량 is highly imbalanced (75.7%)Imbalance
충전기타입 is highly imbalanced (56.5%)Imbalance

Reproduction

Analysis started2023-12-12 06:14:32.907309
Analysis finished2023-12-12 06:14:35.811087
Duration2.9 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
2469 
서울특별시
1484 
경상남도
666 
경상북도
652 
제주특별자치도
615 
Other values (12)
4114 

Length

Max length7
Median length5
Mean length4.2933
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시
2nd row서울특별시
3rd row부산광역시
4th row충청남도
5th row충청북도

Common Values

ValueCountFrequency (%)
경기도 2469
24.7%
서울특별시 1484
14.8%
경상남도 666
 
6.7%
경상북도 652
 
6.5%
제주특별자치도 615
 
6.2%
대구광역시 578
 
5.8%
강원도 425
 
4.2%
인천광역시 422
 
4.2%
충청남도 388
 
3.9%
부산광역시 378
 
3.8%
Other values (7) 1923
19.2%

Length

2023-12-12T15:14:35.910924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 2469
24.7%
서울특별시 1484
14.8%
경상남도 666
 
6.7%
경상북도 652
 
6.5%
제주특별자치도 615
 
6.2%
대구광역시 578
 
5.8%
강원도 425
 
4.2%
인천광역시 422
 
4.2%
충청남도 388
 
3.9%
부산광역시 378
 
3.8%
Other values (7) 1923
19.2%

군구
Text

Distinct205
Distinct (%)2.1%
Missing10
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T15:14:36.217499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0213213
Min length2

Characters and Unicode

Total characters30183
Distinct characters136
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

Unique0 ?
Unique (%)0.0%

Sample

1st row중구
2nd row중구
3rd row기장군
4th row논산시
5th row단양군
ValueCountFrequency (%)
제주시 386
 
3.9%
북구 278
 
2.8%
용인시 246
 
2.5%
서구 237
 
2.4%
서귀포시 225
 
2.3%
고양시 223
 
2.2%
수원시 195
 
2.0%
남양주시 192
 
1.9%
창원시 177
 
1.8%
동구 177
 
1.8%
Other values (195) 7654
76.6%
2023-12-12T15:14:36.639054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 5590
18.5%
구 3687
 
12.2%
주 1508
 
5.0%
군 1147
 
3.8%
성 953
 
3.2%
서 834
 
2.8%
양 832
 
2.8%
남 824
 
2.7%
포 748
 
2.5%
천 741
 
2.5%
Other values (126) 13319
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30183
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5590
18.5%
구 3687
 
12.2%
주 1508
 
5.0%
군 1147
 
3.8%
성 953
 
3.2%
서 834
 
2.8%
양 832
 
2.8%
남 824
 
2.7%
포 748
 
2.5%
천 741
 
2.5%
Other values (126) 13319
44.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30183
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5590
18.5%
구 3687
 
12.2%
주 1508
 
5.0%
군 1147
 
3.8%
성 953
 
3.2%
서 834
 
2.8%
양 832
 
2.8%
남 824
 
2.7%
포 748
 
2.5%
천 741
 
2.5%
Other values (126) 13319
44.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30183
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 5590
18.5%
구 3687
 
12.2%
주 1508
 
5.0%
군 1147
 
3.8%
성 953
 
3.2%
서 834
 
2.8%
양 832
 
2.8%
남 824
 
2.7%
포 748
 
2.5%
천 741
 
2.5%
Other values (126) 13319
44.1%

주소
Text

Distinct7001
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:14:37.063696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length56
Mean length20.8375
Min length8

Characters and Unicode

Total characters208375
Distinct characters624
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

Unique5257 ?
Unique (%)52.6%

Sample

1st row서울특별시 중구 다산로36가길 14-3
2nd row서울특별시 중구 다산로 32 (신당동, 남산타운) 1동~42동,상가
3rd row부산광역시 기장군 일광읍 해송1로 33
4th row충청남도 논산시 해월로 151
5th row충청북도 단양군 단양읍 중앙1로 10
ValueCountFrequency (%)
경기도 2469
 
5.3%
서울특별시 1484
 
3.2%
경상남도 670
 
1.5%
경상북도 652
 
1.4%
제주특별자치도 611
 
1.3%
대구광역시 578
 
1.3%
강원도 425
 
0.9%
인천광역시 422
 
0.9%
충청남도 388
 
0.8%
제주시 386
 
0.8%
Other values (9223) 38092
82.5%
2023-12-12T15:14:37.714074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36719
 
17.6%
시 9473
 
4.5%
로 8383
 
4.0%
1 7059
 
3.4%
도 6778
 
3.3%
구 6244
 
3.0%
2 4642
 
2.2%
경 4135
 
2.0%
동 3965
 
1.9%
3 3700
 
1.8%
Other values (614) 117277
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134003
64.3%
Space Separator 36719
 
17.6%
Decimal Number 33168
 
15.9%
Dash Punctuation 1388
 
0.7%
Open Punctuation 922
 
0.4%
Close Punctuation 922
 
0.4%
Other Punctuation 785
 
0.4%
Uppercase Letter 299
 
0.1%
Math Symbol 148
 
0.1%
Lowercase Letter 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9473
 
7.1%
로 8383
 
6.3%
도 6778
 
5.1%
구 6244
 
4.7%
경 4135
 
3.1%
동 3965
 
3.0%
길 3124
 
2.3%
서 3052
 
2.3%
광 2934
 
2.2%
남 2924
 
2.2%
Other values (565) 82991
61.9%
Uppercase Letter
ValueCountFrequency (%)
K 121
40.5%
T 115
38.5%
E 9
 
3.0%
C 9
 
3.0%
S 8
 
2.7%
I 7
 
2.3%
P 5
 
1.7%
H 4
 
1.3%
A 4
 
1.3%
W 3
 
1.0%
Other values (9) 14
 
4.7%
Decimal Number
ValueCountFrequency (%)
1 7059
21.3%
2 4642
14.0%
3 3700
11.2%
0 3002
9.1%
5 2974
9.0%
4 2772
 
8.4%
6 2572
 
7.8%
7 2395
 
7.2%
9 2039
 
6.1%
8 2013
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 765
97.5%
. 10
 
1.3%
？ 5
 
0.6%
· 2
 
0.3%
* 1
 
0.1%
: 1
 
0.1%
/ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 8
38.1%
a 4
19.0%
t 2
 
9.5%
k 2
 
9.5%
z 2
 
9.5%
l 2
 
9.5%
h 1
 
4.8%
Math Symbol
ValueCountFrequency (%)
~ 147
99.3%
∥ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
36719
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1388
100.0%
Open Punctuation
ValueCountFrequency (%)
( 922
100.0%
Close Punctuation
ValueCountFrequency (%)
) 922
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134003
64.3%
Common 74052
35.5%
Latin 320
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9473
 
7.1%
로 8383
 
6.3%
도 6778
 
5.1%
구 6244
 
4.7%
경 4135
 
3.1%
동 3965
 
3.0%
길 3124
 
2.3%
서 3052
 
2.3%
광 2934
 
2.2%
남 2924
 
2.2%
Other values (565) 82991
61.9%
Latin
ValueCountFrequency (%)
K 121
37.8%
T 115
35.9%
E 9
 
2.8%
C 9
 
2.8%
e 8
 
2.5%
S 8
 
2.5%
I 7
 
2.2%
P 5
 
1.6%
H 4
 
1.2%
A 4
 
1.2%
Other values (16) 30
 
9.4%
Common
ValueCountFrequency (%)
36719
49.6%
1 7059
 
9.5%
2 4642
 
6.3%
3 3700
 
5.0%
0 3002
 
4.1%
5 2974
 
4.0%
4 2772
 
3.7%
6 2572
 
3.5%
7 2395
 
3.2%
9 2039
 
2.8%
Other values (13) 6178
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134003
64.3%
ASCII 74364
35.7%
None 7
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36719
49.4%
1 7059
 
9.5%
2 4642
 
6.2%
3 3700
 
5.0%
0 3002
 
4.0%
5 2974
 
4.0%
4 2772
 
3.7%
6 2572
 
3.5%
7 2395
 
3.2%
9 2039
 
2.7%
Other values (36) 6490
 
8.7%
Hangul
ValueCountFrequency (%)
시 9473
 
7.1%
로 8383
 
6.3%
도 6778
 
5.1%
구 6244
 
4.7%
경 4135
 
3.1%
동 3965
 
3.0%
길 3124
 
2.3%
서 3052
 
2.3%
광 2934
 
2.2%
남 2924
 
2.2%
Other values (565) 82991
61.9%
None
ValueCountFrequency (%)
？ 5
71.4%
· 2
 
28.6%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

충전소명
Text

Distinct7188
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:14:38.068090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length10.0754
Min length1

Characters and Unicode

Total characters100754
Distinct characters747
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5488 ?
Unique (%)54.9%

Sample

1st row동화동 공영주차장
2nd row남산타운아파트
3rd row일광신도시 비스타동원2차
4th row고려크리닉
5th row단양군청
ValueCountFrequency (%)
아파트 381
 
2.5%
서울시 359
 
2.4%
전용 225
 
1.5%
주차장 162
 
1.1%
공영주차장 136
 
0.9%
인천시 80
 
0.5%
이마트 67
 
0.4%
용인시 51
 
0.3%
광주광역시 50
 
0.3%
대구시 49
 
0.3%
Other values (7960) 13502
89.6%
2023-12-12T15:14:38.647013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5103
 
5.1%
트 3427
 
3.4%
아 3363
 
3.3%
파 3198
 
3.2%
시 2270
 
2.3%
지 2179
 
2.2%
주 2088
 
2.1%
차 1633
 
1.6%
동 1573
 
1.6%
이 1472
 
1.5%
Other values (737) 74448
73.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89598
88.9%
Space Separator 5103
 
5.1%
Decimal Number 3072
 
3.0%
Uppercase Letter 1262
 
1.3%
Close Punctuation 628
 
0.6%
Open Punctuation 625
 
0.6%
Lowercase Letter 213
 
0.2%
Dash Punctuation 104
 
0.1%
Connector Punctuation 72
 
0.1%
Other Symbol 40
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 3427
 
3.8%
아 3363
 
3.8%
파 3198
 
3.6%
시 2270
 
2.5%
지 2179
 
2.4%
주 2088
 
2.3%
차 1633
 
1.8%
동 1573
 
1.8%
이 1472
 
1.6%
스 1452
 
1.6%
Other values (674) 66943
74.7%
Uppercase Letter
ValueCountFrequency (%)
C 160
12.7%
S 153
12.1%
L 125
9.9%
K 111
 
8.8%
H 104
 
8.2%
B 70
 
5.5%
D 65
 
5.2%
T 57
 
4.5%
E 56
 
4.4%
A 55
 
4.4%
Other values (14) 306
24.2%
Lowercase Letter
ValueCountFrequency (%)
e 100
46.9%
t 17
 
8.0%
k 15
 
7.0%
i 13
 
6.1%
p 12
 
5.6%
s 12
 
5.6%
c 11
 
5.2%
w 5
 
2.3%
u 5
 
2.3%
r 4
 
1.9%
Other values (9) 19
 
8.9%
Decimal Number
ValueCountFrequency (%)
1 961
31.3%
2 874
28.5%
3 409
13.3%
4 211
 
6.9%
0 145
 
4.7%
5 145
 
4.7%
6 129
 
4.2%
8 71
 
2.3%
7 70
 
2.3%
9 57
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 28
75.7%
. 6
 
16.2%
· 2
 
5.4%
, 1
 
2.7%
Space Separator
ValueCountFrequency (%)
5103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 628
100.0%
Open Punctuation
ValueCountFrequency (%)
( 625
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 72
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89637
89.0%
Common 9641
 
9.6%
Latin 1475
 
1.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 3427
 
3.8%
아 3363
 
3.8%
파 3198
 
3.6%
시 2270
 
2.5%
지 2179
 
2.4%
주 2088
 
2.3%
차 1633
 
1.8%
동 1573
 
1.8%
이 1472
 
1.6%
스 1452
 
1.6%
Other values (674) 66982
74.7%
Latin
ValueCountFrequency (%)
C 160
 
10.8%
S 153
 
10.4%
L 125
 
8.5%
K 111
 
7.5%
H 104
 
7.1%
e 100
 
6.8%
B 70
 
4.7%
D 65
 
4.4%
T 57
 
3.9%
E 56
 
3.8%
Other values (33) 474
32.1%
Common
ValueCountFrequency (%)
5103
52.9%
1 961
 
10.0%
2 874
 
9.1%
) 628
 
6.5%
( 625
 
6.5%
3 409
 
4.2%
4 211
 
2.2%
0 145
 
1.5%
5 145
 
1.5%
6 129
 
1.3%
Other values (9) 411
 
4.3%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89597
88.9%
ASCII 11114
 
11.0%
None 42
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5103
45.9%
1 961
 
8.6%
2 874
 
7.9%
) 628
 
5.7%
( 625
 
5.6%
3 409
 
3.7%
4 211
 
1.9%
C 160
 
1.4%
S 153
 
1.4%
0 145
 
1.3%
Other values (51) 1845
 
16.6%
Hangul
ValueCountFrequency (%)
트 3427
 
3.8%
아 3363
 
3.8%
파 3198
 
3.6%
시 2270
 
2.5%
지 2179
 
2.4%
주 2088
 
2.3%
차 1633
 
1.8%
동 1573
 
1.8%
이 1472
 
1.6%
스 1452
 
1.6%
Other values (673) 66942
74.7%
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
6049 
공공시설
1234 
상업시설
893 
주차시설
 
541
기타시설
 
352
Other values (5)
931 

Length

Max length6
Median length6
Mean length5.3262
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공동주택시설 6049
60.5%
공공시설 1234
 
12.3%
상업시설 893
 
8.9%
주차시설 541
 
5.4%
기타시설 352
 
3.5%
교육문화시설 236
 
2.4%
근린생활시설 214
 
2.1%
관광시설 203
 
2.0%
휴게시설 146
 
1.5%
차량정비시설 132
 
1.3%

Length

2023-12-12T15:14:38.821516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:14:38.958337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동주택시설 6049
60.5%
공공시설 1234
 
12.3%
상업시설 893
 
8.9%
주차시설 541
 
5.4%
기타시설 352
 
3.5%
교육문화시설 236
 
2.4%
근린생활시설 214
 
2.1%
관광시설 203
 
2.0%
휴게시설 146
 
1.5%
차량정비시설 132
 
1.3%

시설구분(소)
Text

Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:14:39.243240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.7173
Min length2

Characters and Unicode

Total characters37173
Distinct characters99
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 row공영주차장
2nd row사업장(사옥)
3rd row아파트
4th row병원
5th row관공서
ValueCountFrequency (%)
아파트 5330
52.6%
사업장(사옥 684
 
6.8%
공공기관 429
 
4.2%
숙박시설 374
 
3.7%
주민센터 372
 
3.7%
공영주차장 370
 
3.7%
기타 331
 
3.3%
마트(쇼핑몰 298
 
2.9%
지자체시설 268
 
2.6%
관공서 163
 
1.6%
Other values (45) 1513
 
14.9%
2023-12-12T15:14:39.734990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 5628
15.1%
아 5330
14.3%
파 5330
14.3%
공 1533
 
4.1%
사 1370
 
3.7%
장 1369
 
3.7%
( 1046
 
2.8%
) 1046
 
2.8%
주 965
 
2.6%
기 821
 
2.2%
Other values (89) 12735
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34821
93.7%
Open Punctuation 1046
 
2.8%
Close Punctuation 1046
 
2.8%
Space Separator 132
 
0.4%
Uppercase Letter 128
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 5628
16.2%
아 5330
15.3%
파 5330
15.3%
공 1533
 
4.4%
사 1370
 
3.9%
장 1369
 
3.9%
주 965
 
2.8%
기 821
 
2.4%
관 759
 
2.2%
시 688
 
2.0%
Other values (85) 11028
31.7%
Open Punctuation
ValueCountFrequency (%)
( 1046
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1046
100.0%
Space Separator
ValueCountFrequency (%)
132
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34821
93.7%
Common 2224
 
6.0%
Latin 128
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 5628
16.2%
아 5330
15.3%
파 5330
15.3%
공 1533
 
4.4%
사 1370
 
3.9%
장 1369
 
3.9%
주 965
 
2.8%
기 821
 
2.4%
관 759
 
2.2%
시 688
 
2.0%
Other values (85) 11028
31.7%
Common
ValueCountFrequency (%)
( 1046
47.0%
) 1046
47.0%
132
 
5.9%
Latin
ValueCountFrequency (%)
C 128
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34821
93.7%
ASCII 2352
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 5628
16.2%
아 5330
15.3%
파 5330
15.3%
공 1533
 
4.4%
사 1370
 
3.9%
장 1369
 
3.9%
주 965
 
2.8%
기 821
 
2.4%
관 759
 
2.2%
시 688
 
2.0%
Other values (85) 11028
31.7%
ASCII
ValueCountFrequency (%)
( 1046
44.5%
) 1046
44.5%
132
 
5.6%
C 128
 
5.4%

기종(대)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
완속
7496 
급속
2504 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완속 7496
75.0%
급속 2504
 
25.0%

Length

2023-12-12T15:14:39.912067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:14:40.008993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완속 7496
75.0%
급속 2504
 
25.0%

기종(소)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
AC완속
7496 
DC차데모+AC3상+DC콤보
 
651
DC콤보
 
617
급속(100kW단독)
 
403
급속(200kW동시)
 
358
Other values (8)
 
475

Length

Max length15
Median length4
Mean length5.5117
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
AC완속 7496
75.0%
DC차데모+AC3상+DC콤보 651
 
6.5%
DC콤보 617
 
6.2%
급속(100kW단독) 403
 
4.0%
급속(200kW동시) 358
 
3.6%
급속(50kW) 173
 
1.7%
DC차데모+DC콤보 138
 
1.4%
급속(100kW멀티) 69
 
0.7%
급속(100kW동시) 62
 
0.6%
급속(400kW동시) 18
 
0.2%
Other values (3) 15
 
0.1%

Length

2023-12-12T15:14:40.118374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ac완속 7496
75.0%
dc차데모+ac3상+dc콤보 651
 
6.5%
dc콤보 617
 
6.2%
급속(100kw단독 403
 
4.0%
급속(200kw동시 358
 
3.6%
급속(50kw 173
 
1.7%
dc차데모+dc콤보 138
 
1.4%
급속(100kw멀티 69
 
0.7%
급속(100kw동시 62
 
0.6%
급속(400kw동시 18
 
0.2%
Other values (3) 15
 
0.1%

운영기관(대)
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
타기관
4624 
타기관(보조금)
4170 
환경부
1091 
지자체
 
115

Length

Max length8
Median length3
Mean length5.085
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
타기관 4624
46.2%
타기관(보조금) 4170
41.7%
환경부 1091
 
10.9%
지자체 115
 
1.1%

Length

2023-12-12T15:14:40.273895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:14:40.396053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
타기관 4624
46.2%
타기관(보조금 4170
41.7%
환경부 1091
 
10.9%
지자체 115
 
1.1%

운영기관(소)
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
지에스커넥트
2762 
차지비
2402 
한국전력
1651 
환경부(협회)
1091 
한국전기차충전서비스
690 
Other values (26)
1404 

Length

Max length11
Median length10
Mean length5.4452
Min length3

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st rowSK일렉링크
2nd row차지비
3rd row지에스커넥트
4th row한국전기차충전서비스
5th row한국전력

Common Values

ValueCountFrequency (%)
지에스커넥트 2762
27.6%
차지비 2402
24.0%
한국전력 1651
16.5%
환경부(협회) 1091
 
10.9%
한국전기차충전서비스 690
 
6.9%
SK일렉링크 630
 
6.3%
제주전기자동차서비스 347
 
3.5%
에버온 101
 
1.0%
제주특별자치도 99
 
1.0%
GS칼텍스 35
 
0.4%
Other values (21) 192
 
1.9%

Length

2023-12-12T15:14:40.541405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지에스커넥트 2762
27.6%
차지비 2402
24.0%
한국전력 1651
16.5%
환경부(협회 1091
 
10.9%
한국전기차충전서비스 690
 
6.9%
sk일렉링크 630
 
6.3%
제주전기자동차서비스 347
 
3.5%
에버온 101
 
1.0%
제주특별자치도 99
 
1.0%
gs칼텍스 35
 
0.4%
Other values (21) 192
 
1.9%

급속충전량
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8908 
급속(100kW단독)
 
403
급속(200kW동시)
 
358
급속(50kW)
 
174
급속(100kW멀티)
 
69
Other values (3)
 
88

Length

Max length12
Median length4
Mean length4.713
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> 8908
89.1%
급속(100kW단독) 403
 
4.0%
급속(200kW동시) 358
 
3.6%
급속(50kW) 174
 
1.7%
급속(100kW멀티) 69
 
0.7%
급속(100kW동시) 62
 
0.6%
급속(400kW동시) 18
 
0.2%
초급속(350kW단독) 8
 
0.1%

Length

2023-12-12T15:14:40.696326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:14:40.849092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8908
89.1%
급속(100kw단독 403
 
4.0%
급속(200kw동시 358
 
3.6%
급속(50kw 174
 
1.7%
급속(100kw멀티 69
 
0.7%
급속(100kw동시 62
 
0.6%
급속(400kw동시 18
 
0.2%
초급속(350kw단독 8
 
0.1%

충전기타입
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
AC완속
7496 
DC콤보
1452 
DC차데모+AC3상+DC콤보
907 
DC차데모+DC콤보
 
138
AC3상
 
5

Length

Max length15
Median length4
Mean length5.0807
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
AC완속 7496
75.0%
DC콤보 1452
 
14.5%
DC차데모+AC3상+DC콤보 907
 
9.1%
DC차데모+DC콤보 138
 
1.4%
AC3상 5
 
0.1%
DC차데모 2
 
< 0.1%

Length

2023-12-12T15:14:40.990191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:14:41.086615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ac완속 7496
75.0%
dc콤보 1452
 
14.5%
dc차데모+ac3상+dc콤보 907
 
9.1%
dc차데모+dc콤보 138
 
1.4%
ac3상 5
 
< 0.1%
dc차데모 2
 
< 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 row이용가능
3rd row이용자제한
4th row이용가능
5th row이용가능

Common Values

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

Length

2023-12-12T15:14:41.196257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:14:41.275957image/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%
Mean5.817
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:14:41.368802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile22
Maximum98
Range97
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.6522343
Coefficient of variation (CV)1.6593148
Kurtosis29.643778
Mean5.817
Median Absolute Deviation (MAD)1
Skewness4.6385546
Sum58170
Variance93.165628
MonotonicityNot monotonic
2023-12-12T15:14:41.481961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3154
31.5%
2 1968
19.7%
3 1011
 
10.1%
4 733
 
7.3%
5 496
 
5.0%
6 352
 
3.5%
7 299
 
3.0%
8 247
 
2.5%
22 182
 
1.8%
9 171
 
1.7%
Other values (62) 1387
13.9%
ValueCountFrequency (%)
1 3154
31.5%
2 1968
19.7%
3 1011
 
10.1%
4 733
 
7.3%
5 496
 
5.0%
6 352
 
3.5%
7 299
 
3.0%
8 247
 
2.5%
9 171
 
1.7%
10 164
 
1.6%
ValueCountFrequency (%)
98 1
 
< 0.1%
93 3
 
< 0.1%
92 5
 
0.1%
91 26
0.3%
83 1
 
< 0.1%
82 4
 
< 0.1%
81 4
 
< 0.1%
79 1
 
< 0.1%
75 1
 
< 0.1%
71 2
 
< 0.1%

Interactions

2023-12-12T15:14:35.375228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:14:41.566637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도시설구분(대)시설구분(소)기종(대)기종(소)운영기관(대)운영기관(소)급속충전량충전기타입이용자제한충전기ID
시도1.0000.3300.4380.2540.2770.4500.5440.2770.2610.2850.138
시설구분(대)0.3301.0001.0000.7550.5490.5460.6400.3780.4870.7360.346
시설구분(소)0.4381.0001.0000.8010.6880.6820.7770.5020.6580.7370.369
기종(대)0.2540.7550.8011.0001.0000.8830.837NaN1.0000.5440.326
기종(소)0.2770.5490.6881.0001.0000.8110.7621.0000.9970.4330.738
운영기관(대)0.4500.5460.6820.8830.8111.0000.9690.0000.6090.5230.424
운영기관(소)0.5440.6400.7770.8370.7620.9691.0000.0000.7050.7050.417
급속충전량0.2770.3780.502NaN1.0000.0000.0001.0000.9040.0260.926
충전기타입0.2610.4870.6581.0000.9970.6090.7050.9041.0000.5320.318
이용자제한0.2850.7360.7370.5440.4330.5230.7050.0260.5321.0000.164
충전기ID0.1380.3460.3690.3260.7380.4240.4170.9260.3180.1641.000
2023-12-12T15:14:41.793352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기종(대)운영기관(대)시도기종(소)충전기타입이용자제한급속충전량시설구분(대)운영기관(소)
기종(대)1.0000.6900.2280.9991.0000.3661.0000.5940.748
운영기관(대)0.6901.0000.2660.6300.4390.3560.0000.3580.873
시도0.2280.2661.0000.1000.1260.2560.1280.1340.181
기종(소)0.9990.6300.1001.0000.9980.4041.0000.2640.355
충전기타입1.0000.4390.1260.9981.0000.3850.9670.2820.401
이용자제한0.3660.3560.2560.4040.3851.0000.0280.5770.613
급속충전량1.0000.0000.1281.0000.9670.0281.0000.2010.000
시설구분(대)0.5940.3580.1340.2640.2820.5770.2011.0000.284
운영기관(소)0.7480.8730.1810.3550.4010.6130.0000.2841.000
2023-12-12T15:14:42.200690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전기ID시도시설구분(대)기종(대)기종(소)운영기관(대)운영기관(소)급속충전량충전기타입이용자제한
충전기ID1.0000.0540.1120.2500.4200.2660.1590.5950.1730.125
시도0.0541.0000.1340.2280.1000.2660.1810.1280.1260.256
시설구분(대)0.1120.1341.0000.5940.2640.3580.2840.2010.2820.577
기종(대)0.2500.2280.5941.0000.9990.6900.7481.0001.0000.366
기종(소)0.4200.1000.2640.9991.0000.6300.3551.0000.9980.404
운영기관(대)0.2660.2660.3580.6900.6301.0000.8730.0000.4390.356
운영기관(소)0.1590.1810.2840.7480.3550.8731.0000.0000.4010.613
급속충전량0.5950.1280.2011.0001.0000.0000.0001.0000.9670.028
충전기타입0.1730.1260.2821.0000.9980.4390.4010.9671.0000.385
이용자제한0.1250.2560.5770.3660.4040.3560.6130.0280.3851.000

Missing values

2023-12-12T15:14:35.529787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:14:35.711910image/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
42829서울특별시중구서울특별시 중구 다산로36가길 14-3동화동 공영주차장주차시설공영주차장완속AC완속타기관SK일렉링크<NA>AC완속이용가능1
27554서울특별시중구서울특별시 중구 다산로 32 (신당동, 남산타운) 1동~42동,상가남산타운아파트공동주택시설사업장(사옥)완속AC완속타기관(보조금)차지비<NA>AC완속이용가능1
50959부산광역시기장군부산광역시 기장군 일광읍 해송1로 33일광신도시 비스타동원2차공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한29
24120충청남도논산시충청남도 논산시 해월로 151고려크리닉근린생활시설병원완속AC완속타기관(보조금)한국전기차충전서비스<NA>AC완속이용가능1
19451충청북도단양군충청북도 단양군 단양읍 중앙1로 10단양군청공공시설관공서급속DC콤보타기관한국전력<NA>DC콤보이용가능1
61757경기도안산시경기도 안산시 단원구 원선로 50원곡벽산블루밍공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한23
29835서울특별시강남구서울특별시 강남구 자곡로 201서울시 강남구 강남더샵라르고공동주택시설아파트완속AC완속타기관(보조금)차지비<NA>AC완속이용가능4
64266충청남도당진시충청남도 당진시 송악읍 신복운로3길 8당진동광아파트공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한1
59711경기도김포시경기도 김포시 양촌읍 양곡4로197번길 12한강금호어울림2단지공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한8
32773경기도용인시경기도 용인시 처인구 금학로 385 (김량장동, KT용인지사)케이티용인빌딩공동주택시설사업장(사옥)완속AC완속타기관(보조금)차지비<NA>AC완속이용자제한22
시도군구주소충전소명시설구분(대)시설구분(소)기종(대)기종(소)운영기관(대)운영기관(소)급속충전량충전기타입이용자제한충전기ID
54706울산광역시울주군울산광역시 울주군 범서읍 굴화1길 55굴화강변월드메르디앙공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한4
23171인천광역시중구인천광역시 중구 공항로 271인천공항 T1 장기주차장(동측)공공시설공공기관급속DC차데모+AC3상+DC콤보타기관한국전기차충전서비스<NA>DC차데모+AC3상+DC콤보이용가능4
62478경기도구리시경기도 구리시 원수택로64번길 33유탑트윈팰리스공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한2
5464경상남도창원시경상남도 창원시 의창구 창원대로 494한국교통안전공단 창원검사소공공시설공공기관급속급속(200kW동시)환경부환경부(협회)급속(200kW동시)DC콤보이용가능22
29087경기도고양시경기도 고양시 일산서구 하이파크3로 11 (덕이동)하이파크시티일산파밀리에2단지공동주택시설아파트완속AC완속타기관차지비<NA>AC완속이용가능28
40593경상남도진주시경상남도 진주시 소호로 102진주시 한국승강기안전공단공공시설공공기관완속AC완속타기관차지비<NA>AC완속이용가능2
7444경상남도거제시경상남도 거제시 거제면 읍내로 361-3거제 호산나주유소기타시설기타완속AC완속타기관파킹클라우드<NA>AC완속이용가능2
21769광주광역시서구광주광역시 서구 화정로85번길 17서구_상무2동행정복지센터공공시설주민센터완속AC완속타기관(보조금)한국전기차충전서비스<NA>AC완속이용가능1
62118경상북도포항시경상북도 포항시 남구 오천읍 해병로181번길 8오천서희스타힐스공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한1
50850경기도의정부시경기도 의정부시 호암로 256신일유토빌아파트공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한2

Duplicate rows

Most frequently occurring

시도군구주소충전소명시설구분(대)시설구분(소)기종(대)기종(소)운영기관(대)운영기관(소)급속충전량충전기타입이용자제한충전기ID# duplicates
0경기도광주시경기도 광주시 광주역5로 18광주역자연앤자이아파트공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한142
1경기도남양주시경기도 남양주시 진접읍 금강로 1553-26장현신우아파트공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한22
2대구광역시달서구대구광역시 달서구 상화로5길 24진천태왕아너스2단지공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한22
3대구광역시북구대구광역시 북구 한강로 17금호서한이다음공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한32
4전라북도전주시전라북도 전주시 완산구 평화7길 40송정써미트아파트공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한22
5충청남도당진시충청남도 당진시 송악읍 부곡공단4길 53-13당진근로자복지회관근린생활시설복지관급속급속(100kW멀티)환경부환경부(협회)급속(100kW멀티)DC차데모+AC3상+DC콤보이용가능12