Overview

Dataset statistics

Number of variables13
Number of observations5522
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)0.1%
Total size in memory571.7 KiB
Average record size in memory106.0 B

Variable types

Categorical9
Text2
Numeric2

Dataset

Description용인시청 전기차 일별 충전현황 : 해당 데이터는 용인시에 설치된 충전기 관련 정보(충전소명, 주소, 충전용량, 충전기 타입 등) 입니다.
URLhttps://www.data.go.kr/data/15120303/fileData.do

Alerts

Dataset has 6 (0.1%) duplicate rowsDuplicates
시설구분(대) is highly overall correlated with 시설구분(소)High correlation
보조금구분 is highly overall correlated with 보조금 지급기관High correlation
충전기타입 is highly overall correlated with 충전시설 종류 and 1 other fieldsHigh correlation
충전용량 is highly overall correlated with 충전시설 종류 and 1 other fieldsHigh correlation
충전시설 종류 is highly overall correlated with 운영기관 and 3 other fieldsHigh correlation
시설구분(소) is highly overall correlated with 시설구분(대) and 1 other fieldsHigh correlation
보조금 지급기관 is highly overall correlated with 보조금구분High correlation
운영기관 is highly overall correlated with 충전시설 종류 and 1 other fieldsHigh correlation
개방여부(이용자제한) is highly overall correlated with 운영기관High correlation
시설구분(대) is highly imbalanced (68.6%)Imbalance
시설구분(소) is highly imbalanced (72.0%)Imbalance
충전시설 종류 is highly imbalanced (72.2%)Imbalance
충전용량 is highly imbalanced (88.0%)Imbalance
충전기타입 is highly imbalanced (82.8%)Imbalance

Reproduction

Analysis started2023-12-12 20:38:07.216412
Analysis finished2023-12-12 20:38:09.100298
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

운영기관
Categorical

HIGH CORRELATION 

Distinct38
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
에버온
1005 
파워큐브
972 
휴맥스이브이
670 
차지비
510 
스타코프
419 
Other values (33)
1946 

Length

Max length14
Median length11
Mean length4.6142702
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row환경부(한국자동차환경협회)
2nd row환경부(한국자동차환경협회)
3rd row환경부(한국자동차환경협회)
4th row환경부(한국자동차환경협회)
5th row환경부(한국자동차환경협회)

Common Values

ValueCountFrequency (%)
에버온 1005
18.2%
파워큐브 972
17.6%
휴맥스이브이 670
12.1%
차지비 510
9.2%
스타코프 419
7.6%
지에스커넥트 365
 
6.6%
이카플러그 226
 
4.1%
한국전력 216
 
3.9%
플러그링크 200
 
3.6%
한국전기차충전서비스 123
 
2.2%
Other values (28) 816
14.8%

Length

2023-12-13T05:38:09.176602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
에버온 1005
18.2%
파워큐브 972
17.6%
휴맥스이브이 670
12.1%
차지비 510
9.2%
스타코프 419
7.6%
지에스커넥트 365
 
6.6%
이카플러그 226
 
4.1%
한국전력 216
 
3.9%
플러그링크 200
 
3.6%
한국전기차충전서비스 123
 
2.2%
Other values (28) 816
14.8%

시설구분(대)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
공동주택시설
4668 
기타시설
 
259
상업시설
 
191
공공시설
 
126
교육문화시설
 
85
Other values (5)
 
193

Length

Max length6
Median length6
Mean length5.7457443
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공동주택시설 4668
84.5%
기타시설 259
 
4.7%
상업시설 191
 
3.5%
공공시설 126
 
2.3%
교육문화시설 85
 
1.5%
주차시설 64
 
1.2%
근린생활시설 48
 
0.9%
관광시설 43
 
0.8%
휴게시설 19
 
0.3%
차량정비시설 19
 
0.3%

Length

2023-12-13T05:38:09.308944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:38:09.445435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동주택시설 4668
84.5%
기타시설 259
 
4.7%
상업시설 191
 
3.5%
공공시설 126
 
2.3%
교육문화시설 85
 
1.5%
주차시설 64
 
1.2%
근린생활시설 48
 
0.9%
관광시설 43
 
0.8%
휴게시설 19
 
0.3%
차량정비시설 19
 
0.3%

시설구분(소)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct37
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
아파트
4498 
기타
 
185
사업장(사옥)
 
181
마트(쇼핑몰)
 
92
학교
 
69
Other values (32)
497 

Length

Max length8
Median length3
Mean length3.2544368
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row관공서
2nd row주민센터
3rd row고속도로 휴게소
4th row고속도로 휴게소
5th row고속도로 휴게소

Common Values

ValueCountFrequency (%)
아파트 4498
81.5%
기타 185
 
3.4%
사업장(사옥) 181
 
3.3%
마트(쇼핑몰) 92
 
1.7%
학교 69
 
1.2%
오피스텔 58
 
1.1%
일반주차장 49
 
0.9%
골프장(CC) 48
 
0.9%
주민센터 42
 
0.8%
병원 29
 
0.5%
Other values (27) 271
 
4.9%

Length

2023-12-13T05:38:09.603525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아파트 4498
81.2%
기타 185
 
3.3%
사업장(사옥 181
 
3.3%
마트(쇼핑몰 92
 
1.7%
학교 69
 
1.2%
오피스텔 58
 
1.0%
일반주차장 49
 
0.9%
골프장(cc 48
 
0.9%
주민센터 42
 
0.8%
병원 29
 
0.5%
Other values (28) 290
 
5.2%

주소
Text

Distinct789
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
2023-12-13T05:38:09.953128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length48
Mean length22.629301
Min length15

Characters and Unicode

Total characters124959
Distinct characters239
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

Unique158 ?
Unique (%)2.9%

Sample

1st row경기도 용인시 처인구 삼가동 556
2nd row경기도 용인시 처인구 포곡읍 포곡로 258
3rd row경기도 용인시 수지구 경부고속도로 400 (죽전동)
4th row경기도 용인시 수지구 경부고속도로 400 (죽전동)
5th row경기도 용인시 기흥구 공세로 173 (공세동)
ValueCountFrequency (%)
경기도 5522
18.9%
용인시 5522
18.9%
기흥구 2508
 
8.6%
수지구 2121
 
7.3%
처인구 879
 
3.0%
성복2로 251
 
0.9%
탑실로 206
 
0.7%
성복1로 190
 
0.7%
동백죽전대로527번길 170
 
0.6%
80 155
 
0.5%
Other values (810) 11670
40.0%
2023-12-13T05:38:10.477331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23672
18.9%
기 8244
 
6.6%
인 6422
 
5.1%
구 5837
 
4.7%
용 5685
 
4.5%
경 5621
 
4.5%
시 5546
 
4.4%
도 5542
 
4.4%
로 5511
 
4.4%
1 4482
 
3.6%
Other values (229) 48397
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79584
63.7%
Space Separator 23672
 
18.9%
Decimal Number 19802
 
15.8%
Dash Punctuation 571
 
0.5%
Close Punctuation 421
 
0.3%
Open Punctuation 421
 
0.3%
Other Punctuation 419
 
0.3%
Math Symbol 37
 
< 0.1%
Uppercase Letter 32
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 8244
 
10.4%
인 6422
 
8.1%
구 5837
 
7.3%
용 5685
 
7.1%
경 5621
 
7.1%
시 5546
 
7.0%
도 5542
 
7.0%
로 5511
 
6.9%
흥 2781
 
3.5%
지 2646
 
3.3%
Other values (209) 25749
32.4%
Decimal Number
ValueCountFrequency (%)
1 4482
22.6%
2 3246
16.4%
5 1991
10.1%
3 1837
9.3%
7 1775
 
9.0%
0 1536
 
7.8%
6 1433
 
7.2%
4 1311
 
6.6%
8 1183
 
6.0%
9 1008
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
C 16
50.0%
K 8
25.0%
T 8
25.0%
Other Punctuation
ValueCountFrequency (%)
, 409
97.6%
. 10
 
2.4%
Space Separator
ValueCountFrequency (%)
23672
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 571
100.0%
Close Punctuation
ValueCountFrequency (%)
) 421
100.0%
Open Punctuation
ValueCountFrequency (%)
( 421
100.0%
Math Symbol
ValueCountFrequency (%)
~ 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79584
63.7%
Common 45343
36.3%
Latin 32
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 8244
 
10.4%
인 6422
 
8.1%
구 5837
 
7.3%
용 5685
 
7.1%
경 5621
 
7.1%
시 5546
 
7.0%
도 5542
 
7.0%
로 5511
 
6.9%
흥 2781
 
3.5%
지 2646
 
3.3%
Other values (209) 25749
32.4%
Common
ValueCountFrequency (%)
23672
52.2%
1 4482
 
9.9%
2 3246
 
7.2%
5 1991
 
4.4%
3 1837
 
4.1%
7 1775
 
3.9%
0 1536
 
3.4%
6 1433
 
3.2%
4 1311
 
2.9%
8 1183
 
2.6%
Other values (7) 2877
 
6.3%
Latin
ValueCountFrequency (%)
C 16
50.0%
K 8
25.0%
T 8
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79584
63.7%
ASCII 45375
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23672
52.2%
1 4482
 
9.9%
2 3246
 
7.2%
5 1991
 
4.4%
3 1837
 
4.0%
7 1775
 
3.9%
0 1536
 
3.4%
6 1433
 
3.2%
4 1311
 
2.9%
8 1183
 
2.6%
Other values (10) 2909
 
6.4%
Hangul
ValueCountFrequency (%)
기 8244
 
10.4%
인 6422
 
8.1%
구 5837
 
7.3%
용 5685
 
7.1%
경 5621
 
7.1%
시 5546
 
7.0%
도 5542
 
7.0%
로 5511
 
6.9%
흥 2781
 
3.5%
지 2646
 
3.3%
Other values (209) 25749
32.4%

충전소명
Text

Distinct1250
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
2023-12-13T05:38:10.716456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length12.766932
Min length2

Characters and Unicode

Total characters70499
Distinct characters457
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique225 ?
Unique (%)4.1%

Sample

1st row용인시청
2nd row포곡읍사무소
3rd row죽전휴게소(서울방향)
4th row죽전휴게소(서울방향)
5th row기흥휴게소(부산방향)
ValueCountFrequency (%)
경기용인 577
 
6.8%
용인시 432
 
5.1%
용인 259
 
3.0%
입주자대표회의 139
 
1.6%
신동백롯데캐슬에코1단지 133
 
1.6%
아파트 51
 
0.6%
성복역롯데캐슬골드타운 50
 
0.6%
저압수용가 47
 
0.6%
탑실마을대주피오레1단지 45
 
0.5%
더샵동천이스트포레 44
 
0.5%
Other values (1364) 6762
79.2%
2023-12-13T05:38:11.110623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3017
 
4.3%
트 2351
 
3.3%
용 2145
 
3.0%
아 2112
 
3.0%
인 2068
 
2.9%
지 2024
 
2.9%
파 2018
 
2.9%
마 1872
 
2.7%
을 1775
 
2.5%
1 1508
 
2.1%
Other values (447) 49609
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59867
84.9%
Decimal Number 4872
 
6.9%
Space Separator 3017
 
4.3%
Uppercase Letter 1164
 
1.7%
Close Punctuation 593
 
0.8%
Open Punctuation 593
 
0.8%
Dash Punctuation 220
 
0.3%
Connector Punctuation 73
 
0.1%
Lowercase Letter 61
 
0.1%
Other Punctuation 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 2351
 
3.9%
용 2145
 
3.6%
아 2112
 
3.5%
인 2068
 
3.5%
지 2024
 
3.4%
파 2018
 
3.4%
마 1872
 
3.1%
을 1775
 
3.0%
스 1456
 
2.4%
동 1388
 
2.3%
Other values (399) 40658
67.9%
Uppercase Letter
ValueCountFrequency (%)
B 291
25.0%
C 108
 
9.3%
S 88
 
7.6%
D 84
 
7.2%
K 80
 
6.9%
L 75
 
6.4%
G 75
 
6.4%
T 61
 
5.2%
A 54
 
4.6%
I 49
 
4.2%
Other values (12) 199
17.1%
Decimal Number
ValueCountFrequency (%)
1 1508
31.0%
2 1117
22.9%
3 584
 
12.0%
4 454
 
9.3%
5 352
 
7.2%
0 284
 
5.8%
6 255
 
5.2%
7 129
 
2.6%
8 95
 
1.9%
9 94
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
n 19
31.1%
w 15
24.6%
k 15
24.6%
e 8
13.1%
t 1
 
1.6%
s 1
 
1.6%
v 1
 
1.6%
o 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
/ 23
95.8%
. 1
 
4.2%
Space Separator
ValueCountFrequency (%)
3017
100.0%
Close Punctuation
ValueCountFrequency (%)
) 593
100.0%
Open Punctuation
ValueCountFrequency (%)
( 593
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 73
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59882
84.9%
Common 9392
 
13.3%
Latin 1225
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 2351
 
3.9%
용 2145
 
3.6%
아 2112
 
3.5%
인 2068
 
3.5%
지 2024
 
3.4%
파 2018
 
3.4%
마 1872
 
3.1%
을 1775
 
3.0%
스 1456
 
2.4%
동 1388
 
2.3%
Other values (400) 40673
67.9%
Latin
ValueCountFrequency (%)
B 291
23.8%
C 108
 
8.8%
S 88
 
7.2%
D 84
 
6.9%
K 80
 
6.5%
L 75
 
6.1%
G 75
 
6.1%
T 61
 
5.0%
A 54
 
4.4%
I 49
 
4.0%
Other values (20) 260
21.2%
Common
ValueCountFrequency (%)
3017
32.1%
1 1508
16.1%
2 1117
 
11.9%
) 593
 
6.3%
( 593
 
6.3%
3 584
 
6.2%
4 454
 
4.8%
5 352
 
3.7%
0 284
 
3.0%
6 255
 
2.7%
Other values (7) 635
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59867
84.9%
ASCII 10617
 
15.1%
None 15
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3017
28.4%
1 1508
14.2%
2 1117
 
10.5%
) 593
 
5.6%
( 593
 
5.6%
3 584
 
5.5%
4 454
 
4.3%
5 352
 
3.3%
B 291
 
2.7%
0 284
 
2.7%
Other values (37) 1824
17.2%
Hangul
ValueCountFrequency (%)
트 2351
 
3.9%
용 2145
 
3.6%
아 2112
 
3.5%
인 2068
 
3.5%
지 2024
 
3.4%
파 2018
 
3.4%
마 1872
 
3.1%
을 1775
 
3.0%
스 1456
 
2.4%
동 1388
 
2.3%
Other values (399) 40658
67.9%
None
ValueCountFrequency (%)
㈜ 15
100.0%

충전기ID
Real number (ℝ)

Distinct71
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8726911
Minimum0
Maximum82
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2023-12-13T05:38:11.255559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q38
95-th percentile25
Maximum82
Range82
Interquartile range (IQR)6

Descriptive statistics

Standard deviation8.9354535
Coefficient of variation (CV)1.300139
Kurtosis11.249566
Mean6.8726911
Median Absolute Deviation (MAD)2
Skewness2.9033167
Sum37951
Variance79.84233
MonotonicityNot monotonic
2023-12-13T05:38:11.407553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1242
22.5%
2 1005
18.2%
3 637
11.5%
4 405
 
7.3%
5 306
 
5.5%
6 222
 
4.0%
7 172
 
3.1%
8 154
 
2.8%
11 143
 
2.6%
9 130
 
2.4%
Other values (61) 1106
20.0%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 1242
22.5%
2 1005
18.2%
3 637
11.5%
4 405
 
7.3%
5 306
 
5.5%
6 222
 
4.0%
7 172
 
3.1%
8 154
 
2.8%
9 130
 
2.4%
ValueCountFrequency (%)
82 1
< 0.1%
81 1
< 0.1%
68 1
< 0.1%
67 1
< 0.1%
66 2
< 0.1%
65 2
< 0.1%
64 2
< 0.1%
63 2
< 0.1%
62 2
< 0.1%
61 2
< 0.1%

충전시설 종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
완속
5257 
급속
 
265

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완속 5257
95.2%
급속 265
 
4.8%

Length

2023-12-13T05:38:11.537808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:38:11.642290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완속 5257
95.2%
급속 265
 
4.8%

충전용량
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
AC완속
5257 
DC차데모+AC3상+DC콤보
 
112
DC콤보
 
83
DC차데모+DC콤보
 
27
급속(100kW단독)
 
17
Other values (4)
 
26

Length

Max length15
Median length4
Mean length4.3007968
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row급속(50kW)
2nd row급속(50kW)
3rd row급속(50kW)
4th row급속(50kW)
5th row급속(50kW)

Common Values

ValueCountFrequency (%)
AC완속 5257
95.2%
DC차데모+AC3상+DC콤보 112
 
2.0%
DC콤보 83
 
1.5%
DC차데모+DC콤보 27
 
0.5%
급속(100kW단독) 17
 
0.3%
급속(50kW) 12
 
0.2%
급속(100kW동시) 6
 
0.1%
급속(200kW동시) 6
 
0.1%
초급속(350kW단독) 2
 
< 0.1%

Length

2023-12-13T05:38:11.754310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:38:11.888597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ac완속 5257
95.2%
dc차데모+ac3상+dc콤보 112
 
2.0%
dc콤보 83
 
1.5%
dc차데모+dc콤보 27
 
0.5%
급속(100kw단독 17
 
0.3%
급속(50kw 12
 
0.2%
급속(100kw동시 6
 
0.1%
급속(200kw동시 6
 
0.1%
초급속(350kw단독 2
 
< 0.1%

충전기타입
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
AC완속
5257 
DC차데모+AC3상+DC콤보
 
126
DC콤보
 
112
DC차데모+DC콤보
 
27

Length

Max length15
Median length4
Mean length4.2803332
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
AC완속 5257
95.2%
DC차데모+AC3상+DC콤보 126
 
2.3%
DC콤보 112
 
2.0%
DC차데모+DC콤보 27
 
0.5%

Length

2023-12-13T05:38:12.023373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:38:12.127571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ac완속 5257
95.2%
dc차데모+ac3상+dc콤보 126
 
2.3%
dc콤보 112
 
2.0%
dc차데모+dc콤보 27
 
0.5%

설치년도
Real number (ℝ)

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.8452
Minimum2015
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2023-12-13T05:38:12.215968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2017
Q12020
median2022
Q32022
95-th percentile2022
Maximum2023
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6529444
Coefficient of variation (CV)0.0008179471
Kurtosis-0.12395633
Mean2020.8452
Median Absolute Deviation (MAD)0
Skewness-1.0939062
Sum11159107
Variance2.7322253
MonotonicityNot monotonic
2023-12-13T05:38:12.359877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2022 2945
53.3%
2021 810
 
14.7%
2018 579
 
10.5%
2020 406
 
7.4%
2019 383
 
6.9%
2017 258
 
4.7%
2023 121
 
2.2%
2016 19
 
0.3%
2015 1
 
< 0.1%
ValueCountFrequency (%)
2015 1
 
< 0.1%
2016 19
 
0.3%
2017 258
 
4.7%
2018 579
 
10.5%
2019 383
 
6.9%
2020 406
 
7.4%
2021 810
 
14.7%
2022 2945
53.3%
2023 121
 
2.2%
ValueCountFrequency (%)
2023 121
 
2.2%
2022 2945
53.3%
2021 810
 
14.7%
2020 406
 
7.4%
2019 383
 
6.9%
2018 579
 
10.5%
2017 258
 
4.7%
2016 19
 
0.3%
2015 1
 
< 0.1%

보조금구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
해당사항없음
2778 
완속보조금
2742 
급속보조금
 
2

Length

Max length6
Median length6
Mean length5.5030786
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당사항없음 2778
50.3%
완속보조금 2742
49.7%
급속보조금 2
 
< 0.1%

Length

2023-12-13T05:38:12.553921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:38:12.678431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당사항없음 2778
50.3%
완속보조금 2742
49.7%
급속보조금 2
 
< 0.1%

보조금 지급기관
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
해당사항없음
2778 
한국환경공단
2744 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당사항없음 2778
50.3%
한국환경공단 2744
49.7%

Length

2023-12-13T05:38:12.795995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:38:12.927521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당사항없음 2778
50.3%
한국환경공단 2744
49.7%

개방여부(이용자제한)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
이용가능
2943 
이용자제한
2579 

Length

Max length5
Median length4
Mean length4.4670409
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이용가능 2943
53.3%
이용자제한 2579
46.7%

Length

2023-12-13T05:38:13.065713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:38:13.188323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이용가능 2943
53.3%
이용자제한 2579
46.7%

Interactions

2023-12-13T05:38:08.544676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:38:08.365535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:38:08.641094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:38:08.445871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:38:13.291680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영기관시설구분(대)시설구분(소)충전기ID충전시설 종류충전용량충전기타입설치년도보조금구분보조금 지급기관개방여부(이용자제한)
운영기관1.0000.7580.8710.4670.7670.7820.7120.7170.5590.5960.900
시설구분(대)0.7581.0000.9980.3630.6290.6130.5050.3570.2980.2270.254
시설구분(소)0.8710.9981.0000.3990.7110.8350.7210.5750.5970.2820.270
충전기ID0.4670.3630.3991.0000.1510.6490.1550.2700.1410.1640.139
충전시설 종류0.7670.6290.7110.1511.0001.0001.0000.2630.1430.3370.086
충전용량0.7820.6130.8350.6491.0001.0000.9890.2870.3900.2170.075
충전기타입0.7120.5050.7210.1551.0000.9891.0000.3790.1910.3280.087
설치년도0.7170.3570.5750.2700.2630.2870.3791.0000.3480.4450.329
보조금구분0.5590.2980.5970.1410.1430.3900.1910.3481.0001.0000.030
보조금 지급기관0.5960.2270.2820.1640.3370.2170.3280.4451.0001.0000.076
개방여부(이용자제한)0.9000.2540.2700.1390.0860.0750.0870.3290.0300.0761.000
2023-12-13T05:38:13.498971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개방여부(이용자제한)시설구분(대)보조금구분충전기타입충전용량충전시설 종류운영기관시설구분(소)보조금 지급기관
개방여부(이용자제한)1.0000.1950.0500.0580.0750.0550.7700.2270.048
시설구분(대)0.1951.0000.1870.3260.3350.4880.3790.9840.174
보조금구분0.0500.1871.0000.1810.1870.2360.3350.3681.000
충전기타입0.0580.3260.1811.0000.9961.0000.4460.4580.219
충전용량0.0750.3350.1870.9961.0000.9990.4220.4900.217
충전시설 종류0.0550.4880.2361.0000.9991.0000.6290.6110.219
운영기관0.7700.3790.3350.4460.4220.6291.0000.3400.477
시설구분(소)0.2270.9840.3680.4580.4900.6110.3401.0000.237
보조금 지급기관0.0480.1741.0000.2190.2170.2190.4770.2371.000
2023-12-13T05:38:13.667372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전기ID설치년도운영기관시설구분(대)시설구분(소)충전시설 종류충전용량충전기타입보조금구분보조금 지급기관개방여부(이용자제한)
충전기ID1.0000.3400.1810.1180.1500.1150.3650.0930.0840.1260.106
설치년도0.3401.0000.3460.1700.2530.2050.1380.1830.2360.3340.247
운영기관0.1810.3461.0000.3790.3400.6290.4220.4460.3350.4770.770
시설구분(대)0.1180.1700.3791.0000.9840.4880.3350.3260.1870.1740.195
시설구분(소)0.1500.2530.3400.9841.0000.6110.4900.4580.3680.2370.227
충전시설 종류0.1150.2050.6290.4880.6111.0000.9991.0000.2360.2190.055
충전용량0.3650.1380.4220.3350.4900.9991.0000.9960.1870.2170.075
충전기타입0.0930.1830.4460.3260.4581.0000.9961.0000.1810.2190.058
보조금구분0.0840.2360.3350.1870.3680.2360.1870.1811.0001.0000.050
보조금 지급기관0.1260.3340.4770.1740.2370.2190.2170.2191.0001.0000.048
개방여부(이용자제한)0.1060.2470.7700.1950.2270.0550.0750.0580.0500.0481.000

Missing values

2023-12-13T05:38:08.825747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:38:09.019258image/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

운영기관시설구분(대)시설구분(소)주소충전소명충전기ID충전시설 종류충전용량충전기타입설치년도보조금구분보조금 지급기관개방여부(이용자제한)
0환경부(한국자동차환경협회)공공시설관공서경기도 용인시 처인구 삼가동 556용인시청1급속급속(50kW)DC차데모+AC3상+DC콤보2017해당사항없음해당사항없음이용가능
1환경부(한국자동차환경협회)공공시설주민센터경기도 용인시 처인구 포곡읍 포곡로 258포곡읍사무소1급속급속(50kW)DC차데모+AC3상+DC콤보2017해당사항없음해당사항없음이용가능
2환경부(한국자동차환경협회)휴게시설고속도로 휴게소경기도 용인시 수지구 경부고속도로 400 (죽전동)죽전휴게소(서울방향)1급속급속(50kW)DC차데모+AC3상+DC콤보2017해당사항없음해당사항없음이용가능
3환경부(한국자동차환경협회)휴게시설고속도로 휴게소경기도 용인시 수지구 경부고속도로 400 (죽전동)죽전휴게소(서울방향)2급속급속(50kW)DC차데모+AC3상+DC콤보2017해당사항없음해당사항없음이용가능
4환경부(한국자동차환경협회)휴게시설고속도로 휴게소경기도 용인시 기흥구 공세로 173 (공세동)기흥휴게소(부산방향)1급속급속(50kW)DC차데모+AC3상+DC콤보2017해당사항없음해당사항없음이용자제한
5환경부(한국자동차환경협회)휴게시설고속도로 휴게소경기도 용인시 기흥구 공세로 173 (공세동)기흥휴게소(부산방향)2급속급속(50kW)DC차데모+AC3상+DC콤보2017해당사항없음해당사항없음이용자제한
6환경부(한국자동차환경협회)휴게시설고속도로 휴게소경기도 용인시 처인구 주북로94번길 30-1 (고림동)용인휴게소(강릉방향)1급속급속(50kW)DC차데모+AC3상+DC콤보2017해당사항없음해당사항없음이용가능
7환경부(한국자동차환경협회)휴게시설고속도로 휴게소경기도 용인시 처인구 주북로94번길 30-1 (고림동)용인휴게소(강릉방향)2급속급속(50kW)DC차데모+AC3상+DC콤보2017해당사항없음해당사항없음이용가능
8환경부(한국자동차환경협회)휴게시설고속도로 휴게소경기도 용인시 처인구 주북로 66-14 (고림동)용인휴게소(서창방향)1급속급속(50kW)DC차데모+AC3상+DC콤보2017해당사항없음해당사항없음이용가능
9환경부(한국자동차환경협회)휴게시설고속도로 휴게소경기도 용인시 처인구 주북로 66-14 (고림동)용인휴게소(서창방향)2급속급속(50kW)DC차데모+AC3상+DC콤보2017해당사항없음해당사항없음이용가능
운영기관시설구분(대)시설구분(소)주소충전소명충전기ID충전시설 종류충전용량충전기타입설치년도보조금구분보조금 지급기관개방여부(이용자제한)
5512한국전자금융기타시설기타경기도 용인시 기흥구 기흥로116번길 77용인 신갈푸르지오7완속AC완속AC완속2022완속보조금한국환경공단이용자제한
5513한국전자금융기타시설기타경기도 용인시 기흥구 기흥로116번길 77용인 신갈푸르지오8완속AC완속AC완속2022완속보조금한국환경공단이용자제한
5514한국전자금융기타시설기타경기도 용인시 처인구 중부대로 1354용인 한명빌딩1완속AC완속AC완속2022해당사항없음해당사항없음이용가능
5515선광시스템상업시설숙박시설경기도 용인시 처인구 원삼면 원양로357번길 99-27주원독채1완속AC완속AC완속2022해당사항없음해당사항없음이용가능
5516선광시스템상업시설골프장(CC)경기도 용인시 처인구 양지면 송주로236번길 82-3양지골프레인지1완속AC완속AC완속2022해당사항없음해당사항없음이용가능
5517선광시스템상업시설골프장(CC)경기도 용인시 처인구 양지면 송주로236번길 82-3양지골프레인지2완속AC완속AC완속2022해당사항없음해당사항없음이용가능
5518중앙제어기타시설기타경기도 용인시 기흥구 용구대로1855번길 15-1롯데칠성음료 용인영업소1완속AC완속AC완속2022해당사항없음해당사항없음이용자제한
5519중앙제어기타시설기타경기도 용인시 처인구 포곡읍 에버랜드로562번길 10-16(출입제한) 삼성 인력개발원 창조관1급속DC콤보DC콤보2022해당사항없음해당사항없음이용자제한
5520중앙제어기타시설기타경기도 용인시 처인구 포곡읍 에버랜드로562번길 10-16(출입제한) 삼성 인력개발원 창조관2급속DC콤보DC콤보2022해당사항없음해당사항없음이용자제한
5521중앙제어기타시설기타경기도 용인시 처인구 포곡읍 에버랜드로562번길 10-16(출입제한) 삼성 인력개발원 창조관3완속AC완속AC완속2022해당사항없음해당사항없음이용자제한

Duplicate rows

Most frequently occurring

운영기관시설구분(대)시설구분(소)주소충전소명충전기ID충전시설 종류충전용량충전기타입설치년도보조금구분보조금 지급기관개방여부(이용자제한)# duplicates
0이카플러그공동주택시설아파트경기도 용인시 수지구 신봉3로12번길 9동일하이빌4단지(413동)1완속AC완속AC완속2022해당사항없음해당사항없음이용자제한2
1이카플러그공동주택시설아파트경기도 용인시 수지구 신봉3로12번길 9동일하이빌4단지(413동)2완속AC완속AC완속2022해당사항없음해당사항없음이용자제한2
2차지비공동주택시설사업장(사옥)경기도 용인시 기흥구 하갈로 200 (상갈동, 한국통신경기교환국사)케이티기흥빌딩11완속AC완속AC완속2018완속보조금한국환경공단이용자제한2
3차지비공동주택시설사업장(사옥)경기도 용인시 기흥구 하갈로 200 (상갈동, 한국통신경기교환국사)케이티기흥빌딩12완속AC완속AC완속2018완속보조금한국환경공단이용자제한2
4차지비공동주택시설사업장(사옥)경기도 용인시 처인구 금학로 385 (김량장동, KT용인지사)케이티용인빌딩11완속AC완속AC완속2018완속보조금한국환경공단이용자제한2
5차지비공동주택시설사업장(사옥)경기도 용인시 처인구 금학로 385 (김량장동, KT용인지사)케이티용인빌딩12완속AC완속AC완속2018완속보조금한국환경공단이용자제한2