Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells5
Missing cells (%)< 0.1%
Duplicate rows9
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/15121460/fileData.do

Alerts

Dataset has 9 (0.1%) duplicate rowsDuplicates
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
운영기관(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
기종(대) is highly overall correlated with 시설구분(대) and 5 other fieldsHigh correlation
급속충전량 is highly overall correlated with 충전기ID and 5 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 (59.5%)Imbalance
급속충전량 is highly imbalanced (76.2%)Imbalance
충전기타입 is highly imbalanced (56.0%)Imbalance

Reproduction

Analysis started2023-12-12 19:44:03.751468
Analysis finished2023-12-12 19:44:07.190520
Duration3.44 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
2475 
서울특별시
1485 
제주특별자치도
684 
경상북도
634 
경상남도
632 
Other values (12)
4090 

Length

Max length7
Median length5
Mean length4.3057
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시
2nd row강원도
3rd row세종특별자치시
4th row경상남도
5th row인천광역시

Common Values

ValueCountFrequency (%)
경기도 2475
24.8%
서울특별시 1485
14.8%
제주특별자치도 684
 
6.8%
경상북도 634
 
6.3%
경상남도 632
 
6.3%
대구광역시 553
 
5.5%
충청남도 410
 
4.1%
강원도 407
 
4.1%
부산광역시 400
 
4.0%
인천광역시 400
 
4.0%
Other values (7) 1920
19.2%

Length

2023-12-13T04:44:07.300465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 2475
24.8%
서울특별시 1485
14.8%
제주특별자치도 684
 
6.8%
경상북도 634
 
6.3%
경상남도 632
 
6.3%
대구광역시 553
 
5.5%
충청남도 410
 
4.1%
강원도 407
 
4.1%
인천광역시 400
 
4.0%
부산광역시 400
 
4.0%
Other values (7) 1920
19.2%

군구
Text

Distinct206
Distinct (%)2.1%
Missing5
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T04:44:07.807755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0158079
Min length2

Characters and Unicode

Total characters30143
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

Unique2 ?
Unique (%)< 0.1%

Sample

1st row금천구
2nd row인제군
3rd row세종특별자치시
4th row진주시
5th row연수구
ValueCountFrequency (%)
제주시 443
 
4.4%
북구 285
 
2.9%
고양시 231
 
2.3%
서구 231
 
2.3%
서귀포시 228
 
2.3%
용인시 224
 
2.2%
남양주시 190
 
1.9%
중구 181
 
1.8%
성남시 177
 
1.8%
동구 173
 
1.7%
Other values (196) 7632
76.4%
2023-12-13T04:44:08.372989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 5596
18.6%
구 3681
 
12.2%
주 1634
 
5.4%
군 1164
 
3.9%
성 893
 
3.0%
서 853
 
2.8%
양 837
 
2.8%
남 808
 
2.7%
천 746
 
2.5%
산 725
 
2.4%
Other values (126) 13206
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30143
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5596
18.6%
구 3681
 
12.2%
주 1634
 
5.4%
군 1164
 
3.9%
성 893
 
3.0%
서 853
 
2.8%
양 837
 
2.8%
남 808
 
2.7%
천 746
 
2.5%
산 725
 
2.4%
Other values (126) 13206
43.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30143
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5596
18.6%
구 3681
 
12.2%
주 1634
 
5.4%
군 1164
 
3.9%
성 893
 
3.0%
서 853
 
2.8%
양 837
 
2.8%
남 808
 
2.7%
천 746
 
2.5%
산 725
 
2.4%
Other values (126) 13206
43.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30143
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 5596
18.6%
구 3681
 
12.2%
주 1634
 
5.4%
군 1164
 
3.9%
성 893
 
3.0%
서 853
 
2.8%
양 837
 
2.8%
남 808
 
2.7%
천 746
 
2.5%
산 725
 
2.4%
Other values (126) 13206
43.8%

주소
Text

Distinct6989
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:44:08.850334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length58
Mean length20.8422
Min length8

Characters and Unicode

Total characters208422
Distinct characters603
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5223 ?
Unique (%)52.2%

Sample

1st row서울특별시 금천구 디지털로 130
2nd row강원도 인제군 북면 미시령로 999
3rd row세종특별자치시 남세종로 441
4th row경상남도 진주시 내동로348번길 10
5th row인천광역시 연수구 해송로 70
ValueCountFrequency (%)
경기도 2475
 
5.4%
서울특별시 1485
 
3.2%
제주특별자치도 671
 
1.5%
경상남도 644
 
1.4%
경상북도 630
 
1.4%
대구광역시 553
 
1.2%
제주시 443
 
1.0%
충청남도 410
 
0.9%
강원도 407
 
0.9%
인천광역시 400
 
0.9%
Other values (9157) 38027
82.4%
2023-12-13T04:44:09.562295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36733
 
17.6%
시 9436
 
4.5%
로 8361
 
4.0%
1 7167
 
3.4%
도 6847
 
3.3%
구 6112
 
2.9%
2 4621
 
2.2%
경 4092
 
2.0%
동 3825
 
1.8%
3 3624
 
1.7%
Other values (593) 117604
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134052
64.3%
Space Separator 36733
 
17.6%
Decimal Number 33283
 
16.0%
Dash Punctuation 1383
 
0.7%
Open Punctuation 882
 
0.4%
Close Punctuation 882
 
0.4%
Other Punctuation 750
 
0.4%
Uppercase Letter 296
 
0.1%
Math Symbol 138
 
0.1%
Lowercase Letter 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9436
 
7.0%
로 8361
 
6.2%
도 6847
 
5.1%
구 6112
 
4.6%
경 4092
 
3.1%
동 3825
 
2.9%
길 3173
 
2.4%
서 3090
 
2.3%
광 2943
 
2.2%
남 2916
 
2.2%
Other values (548) 83257
62.1%
Uppercase Letter
ValueCountFrequency (%)
K 122
41.2%
T 114
38.5%
S 11
 
3.7%
C 9
 
3.0%
A 8
 
2.7%
I 7
 
2.4%
P 6
 
2.0%
L 5
 
1.7%
G 5
 
1.7%
E 2
 
0.7%
Other values (6) 7
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 7167
21.5%
2 4621
13.9%
3 3624
10.9%
0 3001
9.0%
5 3000
9.0%
4 2700
 
8.1%
6 2619
 
7.9%
7 2486
 
7.5%
9 2048
 
6.2%
8 2017
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
26.1%
k 4
17.4%
t 4
17.4%
a 3
13.0%
x 2
 
8.7%
z 1
 
4.3%
l 1
 
4.3%
i 1
 
4.3%
s 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 736
98.1%
. 6
 
0.8%
？ 4
 
0.5%
· 3
 
0.4%
: 1
 
0.1%
Space Separator
ValueCountFrequency (%)
36733
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1383
100.0%
Open Punctuation
ValueCountFrequency (%)
( 882
100.0%
Close Punctuation
ValueCountFrequency (%)
) 882
100.0%
Math Symbol
ValueCountFrequency (%)
~ 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134052
64.3%
Common 74051
35.5%
Latin 319
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9436
 
7.0%
로 8361
 
6.2%
도 6847
 
5.1%
구 6112
 
4.6%
경 4092
 
3.1%
동 3825
 
2.9%
길 3173
 
2.4%
서 3090
 
2.3%
광 2943
 
2.2%
남 2916
 
2.2%
Other values (548) 83257
62.1%
Latin
ValueCountFrequency (%)
K 122
38.2%
T 114
35.7%
S 11
 
3.4%
C 9
 
2.8%
A 8
 
2.5%
I 7
 
2.2%
P 6
 
1.9%
e 6
 
1.9%
L 5
 
1.6%
G 5
 
1.6%
Other values (15) 26
 
8.2%
Common
ValueCountFrequency (%)
36733
49.6%
1 7167
 
9.7%
2 4621
 
6.2%
3 3624
 
4.9%
0 3001
 
4.1%
5 3000
 
4.1%
4 2700
 
3.6%
6 2619
 
3.5%
7 2486
 
3.4%
9 2048
 
2.8%
Other values (10) 6052
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134052
64.3%
ASCII 74363
35.7%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36733
49.4%
1 7167
 
9.6%
2 4621
 
6.2%
3 3624
 
4.9%
0 3001
 
4.0%
5 3000
 
4.0%
4 2700
 
3.6%
6 2619
 
3.5%
7 2486
 
3.3%
9 2048
 
2.8%
Other values (33) 6364
 
8.6%
Hangul
ValueCountFrequency (%)
시 9436
 
7.0%
로 8361
 
6.2%
도 6847
 
5.1%
구 6112
 
4.6%
경 4092
 
3.1%
동 3825
 
2.9%
길 3173
 
2.4%
서 3090
 
2.3%
광 2943
 
2.2%
남 2916
 
2.2%
Other values (548) 83257
62.1%
None
ValueCountFrequency (%)
？ 4
57.1%
· 3
42.9%

충전소명
Text

Distinct7185
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:44:09.868530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length10.0509
Min length2

Characters and Unicode

Total characters100509
Distinct characters763
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5448 ?
Unique (%)54.5%

Sample

1st row서울시 금천구 남성프라자
2nd rowGS25 인제용대점
3rd row호려울5단지
4th row가좌그린빌주공아파트
5th row송도웰카운티2단지아파트
ValueCountFrequency (%)
아파트 372
 
2.5%
서울시 312
 
2.1%
전용 211
 
1.4%
주차장 141
 
0.9%
공영주차장 139
 
0.9%
이마트 77
 
0.5%
인천시 64
 
0.4%
용인시 59
 
0.4%
광주광역시 52
 
0.3%
성남시 48
 
0.3%
Other values (7949) 13445
90.1%
2023-12-13T04:44:10.346105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4951
 
4.9%
트 3363
 
3.3%
아 3349
 
3.3%
파 3121
 
3.1%
지 2253
 
2.2%
시 2218
 
2.2%
주 2141
 
2.1%
차 1646
 
1.6%
스 1526
 
1.5%
동 1518
 
1.5%
Other values (753) 74423
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89340
88.9%
Space Separator 4951
 
4.9%
Decimal Number 3124
 
3.1%
Uppercase Letter 1220
 
1.2%
Close Punctuation 650
 
0.6%
Open Punctuation 649
 
0.6%
Lowercase Letter 311
 
0.3%
Dash Punctuation 120
 
0.1%
Connector Punctuation 68
 
0.1%
Other Symbol 39
 
< 0.1%
Other values (2) 37
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 3363
 
3.8%
아 3349
 
3.7%
파 3121
 
3.5%
지 2253
 
2.5%
시 2218
 
2.5%
주 2141
 
2.4%
차 1646
 
1.8%
스 1526
 
1.7%
동 1518
 
1.7%
이 1442
 
1.6%
Other values (685) 66763
74.7%
Uppercase Letter
ValueCountFrequency (%)
S 154
12.6%
C 134
11.0%
L 126
10.3%
H 107
 
8.8%
K 94
 
7.7%
B 69
 
5.7%
E 67
 
5.5%
A 64
 
5.2%
G 58
 
4.8%
T 57
 
4.7%
Other values (16) 290
23.8%
Lowercase Letter
ValueCountFrequency (%)
e 126
40.5%
k 26
 
8.4%
t 24
 
7.7%
i 22
 
7.1%
s 22
 
7.1%
w 15
 
4.8%
p 15
 
4.8%
r 12
 
3.9%
a 9
 
2.9%
u 8
 
2.6%
Other values (9) 32
 
10.3%
Decimal Number
ValueCountFrequency (%)
1 968
31.0%
2 850
27.2%
3 418
13.4%
5 193
 
6.2%
4 185
 
5.9%
0 143
 
4.6%
6 133
 
4.3%
9 83
 
2.7%
7 80
 
2.6%
8 71
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 20
55.6%
. 7
 
19.4%
, 3
 
8.3%
· 3
 
8.3%
& 2
 
5.6%
: 1
 
2.8%
Space Separator
ValueCountFrequency (%)
4951
100.0%
Close Punctuation
ValueCountFrequency (%)
) 650
100.0%
Open Punctuation
ValueCountFrequency (%)
( 649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 68
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89379
88.9%
Common 9599
 
9.6%
Latin 1531
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 3363
 
3.8%
아 3349
 
3.7%
파 3121
 
3.5%
지 2253
 
2.5%
시 2218
 
2.5%
주 2141
 
2.4%
차 1646
 
1.8%
스 1526
 
1.7%
동 1518
 
1.7%
이 1442
 
1.6%
Other values (686) 66802
74.7%
Latin
ValueCountFrequency (%)
S 154
 
10.1%
C 134
 
8.8%
L 126
 
8.2%
e 126
 
8.2%
H 107
 
7.0%
K 94
 
6.1%
B 69
 
4.5%
E 67
 
4.4%
A 64
 
4.2%
G 58
 
3.8%
Other values (35) 532
34.7%
Common
ValueCountFrequency (%)
4951
51.6%
1 968
 
10.1%
2 850
 
8.9%
) 650
 
6.8%
( 649
 
6.8%
3 418
 
4.4%
5 193
 
2.0%
4 185
 
1.9%
0 143
 
1.5%
6 133
 
1.4%
Other values (12) 459
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89340
88.9%
ASCII 11127
 
11.1%
None 42
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4951
44.5%
1 968
 
8.7%
2 850
 
7.6%
) 650
 
5.8%
( 649
 
5.8%
3 418
 
3.8%
5 193
 
1.7%
4 185
 
1.7%
S 154
 
1.4%
0 143
 
1.3%
Other values (56) 1966
 
17.7%
Hangul
ValueCountFrequency (%)
트 3363
 
3.8%
아 3349
 
3.7%
파 3121
 
3.5%
지 2253
 
2.5%
시 2218
 
2.5%
주 2141
 
2.4%
차 1646
 
1.8%
스 1526
 
1.7%
동 1518
 
1.7%
이 1442
 
1.6%
Other values (685) 66763
74.7%
None
ValueCountFrequency (%)
㈜ 39
92.9%
· 3
 
7.1%

시설구분(대)
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공동주택시설
6009 
공공시설
1271 
상업시설
925 
주차시설
 
561
기타시설
 
310
Other values (5)
924 

Length

Max length6
Median length6
Mean length5.3194
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공동주택시설 6009
60.1%
공공시설 1271
 
12.7%
상업시설 925
 
9.2%
주차시설 561
 
5.6%
기타시설 310
 
3.1%
교육문화시설 220
 
2.2%
근린생활시설 218
 
2.2%
관광시설 176
 
1.8%
휴게시설 160
 
1.6%
차량정비시설 150
 
1.5%

Length

2023-12-13T04:44:10.495718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:44:10.622613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동주택시설 6009
60.1%
공공시설 1271
 
12.7%
상업시설 925
 
9.2%
주차시설 561
 
5.6%
기타시설 310
 
3.1%
교육문화시설 220
 
2.2%
근린생활시설 218
 
2.2%
관광시설 176
 
1.8%
휴게시설 160
 
1.6%
차량정비시설 150
 
1.5%

시설구분(소)
Text

Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:44:10.819618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.7334
Min length2

Characters and Unicode

Total characters37334
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

Unique2 ?
Unique (%)< 0.1%

Sample

1st row숙박시설
2nd row마트(쇼핑몰)
3rd row아파트
4th row아파트
5th row아파트
ValueCountFrequency (%)
아파트 5287
52.1%
사업장(사옥 679
 
6.7%
공공기관 434
 
4.3%
숙박시설 400
 
3.9%
주민센터 391
 
3.9%
공영주차장 366
 
3.6%
기타 297
 
2.9%
마트(쇼핑몰 287
 
2.8%
지자체시설 267
 
2.6%
관공서 174
 
1.7%
Other values (45) 1564
 
15.4%
2023-12-13T04:44:11.169587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 5574
14.9%
아 5287
14.2%
파 5287
14.2%
공 1517
 
4.1%
장 1376
 
3.7%
사 1362
 
3.6%
( 1027
 
2.8%
) 1027
 
2.8%
주 1008
 
2.7%
기 804
 
2.2%
Other values (88) 13065
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35012
93.8%
Open Punctuation 1027
 
2.8%
Close Punctuation 1027
 
2.8%
Space Separator 146
 
0.4%
Uppercase Letter 122
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 5574
15.9%
아 5287
15.1%
파 5287
15.1%
공 1517
 
4.3%
장 1376
 
3.9%
사 1362
 
3.9%
주 1008
 
2.9%
기 804
 
2.3%
관 802
 
2.3%
시 716
 
2.0%
Other values (84) 11279
32.2%
Open Punctuation
ValueCountFrequency (%)
( 1027
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1027
100.0%
Space Separator
ValueCountFrequency (%)
146
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35012
93.8%
Common 2200
 
5.9%
Latin 122
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 5574
15.9%
아 5287
15.1%
파 5287
15.1%
공 1517
 
4.3%
장 1376
 
3.9%
사 1362
 
3.9%
주 1008
 
2.9%
기 804
 
2.3%
관 802
 
2.3%
시 716
 
2.0%
Other values (84) 11279
32.2%
Common
ValueCountFrequency (%)
( 1027
46.7%
) 1027
46.7%
146
 
6.6%
Latin
ValueCountFrequency (%)
C 122
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35012
93.8%
ASCII 2322
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 5574
15.9%
아 5287
15.1%
파 5287
15.1%
공 1517
 
4.3%
장 1376
 
3.9%
사 1362
 
3.9%
주 1008
 
2.9%
기 804
 
2.3%
관 802
 
2.3%
시 716
 
2.0%
Other values (84) 11279
32.2%
ASCII
ValueCountFrequency (%)
( 1027
44.2%
) 1027
44.2%
146
 
6.3%
C 122
 
5.3%

기종(대)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
완속
7462 
급속
2538 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완속 7462
74.6%
급속 2538
 
25.4%

Length

2023-12-13T04:44:11.305742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:44:11.402864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완속 7462
74.6%
급속 2538
 
25.4%

기종(소)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
AC완속
7462 
DC차데모+AC3상+DC콤보
 
647
DC콤보
 
647
급속(100kW단독)
 
400
급속(200kW동시)
 
371
Other values (8)
 
473

Length

Max length15
Median length4
Mean length5.5125
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
AC완속 7462
74.6%
DC차데모+AC3상+DC콤보 647
 
6.5%
DC콤보 647
 
6.5%
급속(100kW단독) 400
 
4.0%
급속(200kW동시) 371
 
3.7%
급속(50kW) 165
 
1.7%
DC차데모+DC콤보 165
 
1.7%
급속(100kW동시) 57
 
0.6%
급속(100kW멀티) 52
 
0.5%
급속(400kW동시) 19
 
0.2%
Other values (3) 15
 
0.1%

Length

2023-12-13T04:44:11.504334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ac완속 7462
74.6%
dc차데모+ac3상+dc콤보 647
 
6.5%
dc콤보 647
 
6.5%
급속(100kw단독 400
 
4.0%
급속(200kw동시 371
 
3.7%
급속(50kw 165
 
1.7%
dc차데모+dc콤보 165
 
1.7%
급속(100kw동시 57
 
0.6%
급속(100kw멀티 52
 
0.5%
급속(400kw동시 19
 
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
4595 
타기관(보조금)
4227 
환경부
1072 
지자체
 
106

Length

Max length8
Median length3
Mean length5.1135
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
타기관 4595
46.0%
타기관(보조금) 4227
42.3%
환경부 1072
 
10.7%
지자체 106
 
1.1%

Length

2023-12-13T04:44:11.614360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:44:11.712268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
타기관 4595
46.0%
타기관(보조금 4227
42.3%
환경부 1072
 
10.7%
지자체 106
 
1.1%

운영기관(소)
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
지에스커넥트
2721 
차지비
2333 
한국전력
1687 
환경부(협회)
1072 
한국전기차충전서비스
738 
Other values (25)
1449 

Length

Max length11
Median length10
Mean length5.4918
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
지에스커넥트 2721
27.2%
차지비 2333
23.3%
한국전력 1687
16.9%
환경부(협회) 1072
 
10.7%
한국전기차충전서비스 738
 
7.4%
SK일렉링크 660
 
6.6%
제주전기자동차서비스 383
 
3.8%
제주특별자치도 95
 
0.9%
에버온 86
 
0.9%
GS칼텍스 46
 
0.5%
Other values (20) 179
 
1.8%

Length

2023-12-13T04:44:11.847905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지에스커넥트 2721
27.2%
차지비 2333
23.3%
한국전력 1687
16.9%
환경부(협회 1072
 
10.7%
한국전기차충전서비스 738
 
7.4%
sk일렉링크 660
 
6.6%
제주전기자동차서비스 383
 
3.8%
제주특별자치도 95
 
0.9%
에버온 86
 
0.9%
gs칼텍스 46
 
0.5%
Other values (20) 179
 
1.8%

급속충전량
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8928 
급속(100kW단독)
 
400
급속(200kW동시)
 
371
급속(50kW)
 
165
급속(100kW동시)
 
57
Other values (3)
 
79

Length

Max length12
Median length4
Mean length4.7017
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> 8928
89.3%
급속(100kW단독) 400
 
4.0%
급속(200kW동시) 371
 
3.7%
급속(50kW) 165
 
1.7%
급속(100kW동시) 57
 
0.6%
급속(100kW멀티) 52
 
0.5%
급속(400kW동시) 19
 
0.2%
초급속(350kW단독) 8
 
0.1%

Length

2023-12-13T04:44:11.985313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:44:12.100494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8928
89.3%
급속(100kw단독 400
 
4.0%
급속(200kw동시 371
 
3.7%
급속(50kw 165
 
1.7%
급속(100kw동시 57
 
0.6%
급속(100kw멀티 52
 
0.5%
급속(400kw동시 19
 
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
7462 
DC콤보
1491 
DC차데모+AC3상+DC콤보
875 
DC차데모+DC콤보
 
165
AC3상
 
6

Length

Max length15
Median length4
Mean length5.0616
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
AC완속 7462
74.6%
DC콤보 1491
 
14.9%
DC차데모+AC3상+DC콤보 875
 
8.8%
DC차데모+DC콤보 165
 
1.7%
AC3상 6
 
0.1%
DC차데모 1
 
< 0.1%

Length

2023-12-13T04:44:12.218896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:44:12.318042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ac완속 7462
74.6%
dc콤보 1491
 
14.9%
dc차데모+ac3상+dc콤보 875
 
8.8%
dc차데모+dc콤보 165
 
1.7%
ac3상 6
 
0.1%
dc차데모 1
 
< 0.1%

이용자제한
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
이용가능
5333 
이용자제한
4667 

Length

Max length5
Median length4
Mean length4.4667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이용가능 5333
53.3%
이용자제한 4667
46.7%

Length

2023-12-13T04:44:12.431119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:44:12.522899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이용가능 5333
53.3%
이용자제한 4667
46.7%

충전기ID
Real number (ℝ)

HIGH CORRELATION 

Distinct72
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.958
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T04:44:12.641629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile22
Maximum94
Range93
Interquartile range (IQR)5

Descriptive statistics

Standard deviation10.203884
Coefficient of variation (CV)1.7126358
Kurtosis28.986986
Mean5.958
Median Absolute Deviation (MAD)1
Skewness4.6467587
Sum59580
Variance104.11925
MonotonicityNot monotonic
2023-12-13T04:44:12.768575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3221
32.2%
2 1932
19.3%
3 1049
 
10.5%
4 730
 
7.3%
5 487
 
4.9%
6 330
 
3.3%
7 243
 
2.4%
8 232
 
2.3%
22 180
 
1.8%
11 179
 
1.8%
Other values (62) 1417
14.2%
ValueCountFrequency (%)
1 3221
32.2%
2 1932
19.3%
3 1049
 
10.5%
4 730
 
7.3%
5 487
 
4.9%
6 330
 
3.3%
7 243
 
2.4%
8 232
 
2.3%
9 170
 
1.7%
10 142
 
1.4%
ValueCountFrequency (%)
94 1
 
< 0.1%
93 2
 
< 0.1%
92 8
 
0.1%
91 35
0.4%
88 1
 
< 0.1%
87 1
 
< 0.1%
85 1
 
< 0.1%
82 5
 
0.1%
81 4
 
< 0.1%
80 1
 
< 0.1%

Interactions

2023-12-13T04:44:06.648235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:44:12.862984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도시설구분(대)시설구분(소)기종(대)기종(소)운영기관(대)운영기관(소)급속충전량충전기타입이용자제한충전기ID
시도1.0000.3370.4530.2240.2680.4450.5450.2540.2510.3070.162
시설구분(대)0.3371.0001.0000.7650.5600.5410.6790.3920.5010.7440.333
시설구분(소)0.4531.0001.0000.8020.6930.6730.7920.5220.6640.7420.371
기종(대)0.2240.7650.8021.0001.0000.8800.883NaN1.0000.5440.340
기종(소)0.2680.5600.6931.0001.0000.8130.7651.0000.9980.4310.754
운영기관(대)0.4450.5410.6730.8800.8131.0000.970NaN0.6110.5020.446
운영기관(소)0.5450.6790.7920.8830.7650.9701.000NaN0.7490.7430.476
급속충전량0.2540.3920.522NaN1.000NaNNaN1.0000.9080.0520.929
충전기타입0.2510.5010.6641.0000.9980.6110.7490.9081.0000.5320.326
이용자제한0.3070.7440.7420.5440.4310.5020.7430.0520.5321.0000.178
충전기ID0.1620.3330.3710.3400.7540.4460.4760.9290.3260.1781.000
2023-12-13T04:44:13.003043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분(대)운영기관(대)이용자제한시도기종(소)운영기관(소)충전기타입기종(대)급속충전량
시설구분(대)1.0000.3540.5840.1380.2710.2840.2920.6020.210
운영기관(대)0.3541.0000.3410.2620.6330.8750.4410.6861.000
이용자제한0.5840.3411.0000.2750.4010.6060.3840.3660.055
시도0.1380.2620.2751.0000.0970.1820.1210.2010.117
기종(소)0.2710.6330.4010.0971.0000.3590.9980.9991.000
운영기관(소)0.2840.8750.6060.1820.3591.0000.4090.7491.000
충전기타입0.2920.4410.3840.1210.9980.4091.0001.0000.971
기종(대)0.6020.6860.3660.2010.9990.7491.0001.0001.000
급속충전량0.2101.0000.0550.1171.0001.0000.9711.0001.000
2023-12-13T04:44:13.126342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전기ID시도시설구분(대)기종(대)기종(소)운영기관(대)운영기관(소)급속충전량충전기타입이용자제한
충전기ID1.0000.0630.1080.2610.4370.2820.1700.6010.1780.136
시도0.0631.0000.1380.2010.0970.2620.1820.1170.1210.275
시설구분(대)0.1080.1381.0000.6020.2710.3540.2840.2100.2920.584
기종(대)0.2610.2010.6021.0000.9990.6860.7491.0001.0000.366
기종(소)0.4370.0970.2710.9991.0000.6330.3591.0000.9980.401
운영기관(대)0.2820.2620.3540.6860.6331.0000.8751.0000.4410.341
운영기관(소)0.1700.1820.2840.7490.3590.8751.0001.0000.4090.606
급속충전량0.6010.1170.2101.0001.0001.0001.0001.0000.9710.055
충전기타입0.1780.1210.2921.0000.9980.4410.4090.9711.0000.384
이용자제한0.1360.2750.5840.3660.4010.3410.6060.0550.3841.000

Missing values

2023-12-13T04:44:06.801749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:44:07.052032image/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
29994서울특별시금천구서울특별시 금천구 디지털로 130서울시 금천구 남성프라자상업시설숙박시설완속AC완속타기관(보조금)차지비<NA>AC완속이용가능2
22042강원도인제군강원도 인제군 북면 미시령로 999GS25 인제용대점상업시설마트(쇼핑몰)급속DC차데모+AC3상+DC콤보타기관한국전기차충전서비스<NA>DC차데모+AC3상+DC콤보이용가능1
55445세종특별자치시세종특별자치시세종특별자치시 남세종로 441호려울5단지공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한2
34859경상남도진주시경상남도 진주시 내동로348번길 10가좌그린빌주공아파트공동주택시설아파트완속AC완속타기관(보조금)차지비<NA>AC완속이용가능1
62973인천광역시연수구인천광역시 연수구 해송로 70송도웰카운티2단지아파트공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한14
2454울산광역시남구울산광역시 남구 옥동 산11,12울산체육공원 문수구장공공시설지자체시설급속급속(50kW)환경부환경부(협회)급속(50kW)DC차데모+AC3상+DC콤보이용가능3
46185전라남도구례군전라남도 구례군 구례읍 용방로 17현대자동차블루핸즈 구례점차량정비시설서비스센터급속DC콤보타기관SK일렉링크<NA>DC콤보이용가능2
37152경기도용인시경기도 용인시 수지구 법조로 252용인시 광교스타클래스2단지공동주택시설아파트완속AC완속타기관(보조금)차지비<NA>AC완속이용가능6
19834경상북도포항시경상북도 포항시 북구 흥해읍 신흥로861번길 47-18권무정 궁도장기타시설기타급속DC콤보타기관한국전력<NA>DC콤보이용가능1
55026경기도수원시경기도 수원시 영통구 센트럴타운로22번길 36광교센트럴타운60단지공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한4
시도군구주소충전소명시설구분(대)시설구분(소)기종(대)기종(소)운영기관(대)운영기관(소)급속충전량충전기타입이용자제한충전기ID
63391인천광역시연수구인천광역시 연수구 센트럴로 123송도컨벤시아공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한6
32279경기도파주시경기도 파주시 해솔로 85 (목동동, 해솔마을1단지두산위브)파주운정두산위브아파트공동주택시설아파트완속AC완속타기관(보조금)차지비<NA>AC완속이용가능3
14644충청북도청주시충청북도 청주시 서원구 사직동 예체로 68청주푸르지오캐슬 아파트1단지공동주택시설아파트완속AC완속타기관한국전력<NA>AC완속이용자제한7
56544충청남도서산시충청남도 서산시 성연면 성연3로 57-30고운라피네아파트공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한4
26686경기도성남시경기도 성남시 수정구 수정로 283성남시 수정구청공공시설관공서완속AC완속타기관(보조금)차지비<NA>AC완속이용가능2
3937전라남도여수시전라남도 여수시 국포1로롯데마트 여수점 야외주차장상업시설마트(쇼핑몰)급속급속(100kW단독)환경부환경부(협회)급속(100kW단독)DC콤보이용가능43
14675충청북도청주시충청북도 청주시 청원구 율량동 충청대로139번길 18율량두진백로그린타운공동주택시설아파트완속AC완속타기관한국전력<NA>AC완속이용자제한4
55831대전광역시대덕구대전광역시 대덕구 동춘당로114번길 60선비마을3단지공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한3
50529서울특별시마포구서울특별시 마포구 백범로37길 12신공덕1차 삼성래미안공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한2
17405부산광역시연제구부산광역시 연제구 거제동 1510롯데캐슬피렌체아파트공동주택시설아파트급속DC차데모+AC3상+DC콤보타기관한국전력<NA>DC차데모+AC3상+DC콤보이용자제한1

Duplicate rows

Most frequently occurring

시도군구주소충전소명시설구분(대)시설구분(소)기종(대)기종(소)운영기관(대)운영기관(소)급속충전량충전기타입이용자제한충전기ID# duplicates
0광주광역시서구광주광역시 서구 화운로 24유니버시아드힐스테이트3단지공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한12
1대구광역시달성군대구광역시 달성군 다사읍 세천로 182-10현대썬앤빌대구공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한22
2대구광역시동구대구광역시 동구 율하동로 19율하휴먼시아11단지공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한12
3대구광역시수성구대구광역시 수성구 파동로 209실리안아파트공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한22
4서울특별시강남구서울특별시 강남구 언주로85길 32역삼역센트럴푸르지오시티공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한32
5서울특별시노원구서울특별시 노원구 덕릉로73길 28양지대림2차아파트공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한32
6서울특별시노원구서울특별시 노원구 덕릉로73길 28양지대림2차아파트공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한62
7서울특별시중구서울특별시 중구 퇴계로 72남산SK리더스뷰공동주택시설아파트완속AC완속타기관(보조금)지에스커넥트<NA>AC완속이용자제한62
8인천광역시남동구인천광역시 남동구 은봉로165번길 24휴먼시아1단지숲속마을공동주택시설아파트완속AC완속타기관지에스커넥트<NA>AC완속이용자제한22