Overview

Dataset statistics

Number of variables12
Number of observations7098
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory693.3 KiB
Average record size in memory100.0 B

Variable types

Categorical4
Text4
Numeric4

Dataset

DescriptionEV 충전기 설치 및 이용 현황 : 해당 데이터는 2022년 12월 기준 환경부 공공급속충전기 관련 자료(위치, 충전타입, 충전용량 등) 입니다.
URLhttps://www.data.go.kr/data/15119581/fileData.do

Alerts

충전기ID is highly overall correlated with 급속충전량High correlation
2022년 충전횟수(연간) is highly overall correlated with 2022년 충전횟수_월간(평균) and 1 other fieldsHigh correlation
2022년 충전횟수_월간(평균) is highly overall correlated with 2022년 충전횟수(연간) and 1 other fieldsHigh correlation
2022년 충전횟수_일간(평균) is highly overall correlated with 2022년 충전횟수(연간) and 1 other fieldsHigh correlation
급속충전량 is highly overall correlated with 충전기ID and 1 other fieldsHigh correlation
충전기타입 is highly overall correlated with 급속충전량High correlation
충전기타입 is highly imbalanced (51.0%)Imbalance
2022년 충전횟수_일간(평균) has 1261 (17.8%) zerosZeros

Reproduction

Analysis started2023-12-12 04:12:56.488473
Analysis finished2023-12-12 04:13:00.974934
Duration4.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size55.6 KiB
경상북도
929 
경기도
891 
전라남도
717 
경상남도
702 
충청남도
617 
Other values (12)
3242 

Length

Max length7
Median length4
Mean length4.1220062
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상북도 929
13.1%
경기도 891
12.6%
전라남도 717
10.1%
경상남도 702
9.9%
충청남도 617
8.7%
강원도 606
8.5%
전라북도 577
8.1%
충청북도 448
6.3%
제주특별자치도 316
 
4.5%
서울특별시 310
 
4.4%
Other values (7) 985
13.9%

Length

2023-12-12T13:13:01.077447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상북도 929
13.1%
경기도 891
12.6%
전라남도 717
10.1%
경상남도 702
9.9%
충청남도 617
8.7%
강원도 606
8.5%
전라북도 577
8.1%
충청북도 448
6.3%
제주특별자치도 316
 
4.5%
서울특별시 310
 
4.4%
Other values (7) 985
13.9%

군구
Text

Distinct206
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size55.6 KiB
2023-12-12T13:13:01.530672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0098619
Min length2

Characters and Unicode

Total characters21364
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

Unique0 ?
Unique (%)0.0%

Sample

1st row강남구
2nd row강동구
3rd row강동구
4th row강동구
5th row강서구
ValueCountFrequency (%)
제주시 174
 
2.5%
서귀포시 142
 
2.0%
서구 120
 
1.7%
창원시 116
 
1.6%
포항시 113
 
1.6%
청주시 107
 
1.5%
경주시 99
 
1.4%
북구 98
 
1.4%
천안시 98
 
1.4%
춘천시 97
 
1.4%
Other values (196) 5934
83.6%
2023-12-12T13:13:02.164063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 3752
 
17.6%
군 2422
 
11.3%
구 1207
 
5.6%
주 1124
 
5.3%
천 783
 
3.7%
성 653
 
3.1%
산 631
 
3.0%
안 510
 
2.4%
양 456
 
2.1%
서 442
 
2.1%
Other values (127) 9384
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21364
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3752
 
17.6%
군 2422
 
11.3%
구 1207
 
5.6%
주 1124
 
5.3%
천 783
 
3.7%
성 653
 
3.1%
산 631
 
3.0%
안 510
 
2.4%
양 456
 
2.1%
서 442
 
2.1%
Other values (127) 9384
43.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21364
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3752
 
17.6%
군 2422
 
11.3%
구 1207
 
5.6%
주 1124
 
5.3%
천 783
 
3.7%
성 653
 
3.1%
산 631
 
3.0%
안 510
 
2.4%
양 456
 
2.1%
서 442
 
2.1%
Other values (127) 9384
43.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21364
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 3752
 
17.6%
군 2422
 
11.3%
구 1207
 
5.6%
주 1124
 
5.3%
천 783
 
3.7%
성 653
 
3.1%
산 631
 
3.0%
안 510
 
2.4%
양 456
 
2.1%
서 442
 
2.1%
Other values (127) 9384
43.9%

충전소명
Text

Distinct4075
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Memory size55.6 KiB
2023-12-12T13:13:02.497482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length9.5532544
Min length2

Characters and Unicode

Total characters67809
Distinct characters630
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

Unique1999 ?
Unique (%)28.2%

Sample

1st row노보텔
2nd row암사1동 공영주차장
3rd row천호유수지 공영주차장
4th row천호3동 제1공영주차장
5th row가로공원로 지하공영주차장
ValueCountFrequency (%)
주차장 781
 
7.0%
공영주차장 423
 
3.8%
롯데마트 174
 
1.6%
행정복지센터 75
 
0.7%
앞 70
 
0.6%
야외주차장 61
 
0.5%
이마트 56
 
0.5%
농업기술센터 44
 
0.4%
제1공영주차장 36
 
0.3%
한국농어촌공사 33
 
0.3%
Other values (4592) 9424
84.3%
2023-12-12T13:13:02.993285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4083
 
6.0%
장 2877
 
4.2%
주 2842
 
4.2%
차 2221
 
3.3%
공 1812
 
2.7%
소 1749
 
2.6%
원 1271
 
1.9%
산 1264
 
1.9%
사 1229
 
1.8%
지 1120
 
1.7%
Other values (620) 47341
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60746
89.6%
Space Separator 4083
 
6.0%
Open Punctuation 883
 
1.3%
Close Punctuation 883
 
1.3%
Decimal Number 816
 
1.2%
Uppercase Letter 279
 
0.4%
Lowercase Letter 49
 
0.1%
Other Symbol 24
 
< 0.1%
Other Punctuation 22
 
< 0.1%
Dash Punctuation 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 2877
 
4.7%
주 2842
 
4.7%
차 2221
 
3.7%
공 1812
 
3.0%
소 1749
 
2.9%
원 1271
 
2.1%
산 1264
 
2.1%
사 1229
 
2.0%
지 1120
 
1.8%
터 967
 
1.6%
Other values (562) 43394
71.4%
Uppercase Letter
ValueCountFrequency (%)
T 28
 
10.0%
G 27
 
9.7%
S 23
 
8.2%
P 21
 
7.5%
A 19
 
6.8%
C 19
 
6.8%
M 17
 
6.1%
I 17
 
6.1%
D 16
 
5.7%
E 15
 
5.4%
Other values (13) 77
27.6%
Lowercase Letter
ValueCountFrequency (%)
k 9
18.4%
s 7
14.3%
b 5
10.2%
o 5
10.2%
e 4
8.2%
i 3
 
6.1%
l 3
 
6.1%
p 2
 
4.1%
u 2
 
4.1%
c 2
 
4.1%
Other values (4) 7
14.3%
Decimal Number
ValueCountFrequency (%)
1 303
37.1%
2 222
27.2%
3 98
 
12.0%
4 55
 
6.7%
5 34
 
4.2%
8 30
 
3.7%
6 26
 
3.2%
9 23
 
2.8%
7 14
 
1.7%
0 11
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 8
36.4%
/ 6
27.3%
: 4
18.2%
, 3
 
13.6%
· 1
 
4.5%
Space Separator
ValueCountFrequency (%)
4083
100.0%
Open Punctuation
ValueCountFrequency (%)
( 883
100.0%
Close Punctuation
ValueCountFrequency (%)
) 883
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60770
89.6%
Common 6711
 
9.9%
Latin 328
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 2877
 
4.7%
주 2842
 
4.7%
차 2221
 
3.7%
공 1812
 
3.0%
소 1749
 
2.9%
원 1271
 
2.1%
산 1264
 
2.1%
사 1229
 
2.0%
지 1120
 
1.8%
터 967
 
1.6%
Other values (563) 43418
71.4%
Latin
ValueCountFrequency (%)
T 28
 
8.5%
G 27
 
8.2%
S 23
 
7.0%
P 21
 
6.4%
A 19
 
5.8%
C 19
 
5.8%
M 17
 
5.2%
I 17
 
5.2%
D 16
 
4.9%
E 15
 
4.6%
Other values (27) 126
38.4%
Common
ValueCountFrequency (%)
4083
60.8%
( 883
 
13.2%
) 883
 
13.2%
1 303
 
4.5%
2 222
 
3.3%
3 98
 
1.5%
4 55
 
0.8%
5 34
 
0.5%
8 30
 
0.4%
6 26
 
0.4%
Other values (10) 94
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60746
89.6%
ASCII 7038
 
10.4%
None 25
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4083
58.0%
( 883
 
12.5%
) 883
 
12.5%
1 303
 
4.3%
2 222
 
3.2%
3 98
 
1.4%
4 55
 
0.8%
5 34
 
0.5%
8 30
 
0.4%
T 28
 
0.4%
Other values (46) 419
 
6.0%
Hangul
ValueCountFrequency (%)
장 2877
 
4.7%
주 2842
 
4.7%
차 2221
 
3.7%
공 1812
 
3.0%
소 1749
 
2.9%
원 1271
 
2.1%
산 1264
 
2.1%
사 1229
 
2.0%
지 1120
 
1.8%
터 967
 
1.6%
Other values (562) 43394
71.4%
None
ValueCountFrequency (%)
㈜ 24
96.0%
· 1
 
4.0%

주소
Text

Distinct4103
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Memory size55.6 KiB
2023-12-12T13:13:03.520913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length20.371231
Min length11

Characters and Unicode

Total characters144595
Distinct characters504
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2057 ?
Unique (%)29.0%

Sample

1st row서울특별시 강남구 봉은사로 130
2nd row서울특별시 강동구 고덕로28길 36
3rd row서울특별시 강동구 선사로 70
4th row서울특별시 강동구 진황도로29길 34
5th row서울특별시 강서구 가로공원로 189
ValueCountFrequency (%)
경상북도 929
 
2.8%
경기도 891
 
2.7%
전라남도 717
 
2.2%
경상남도 702
 
2.1%
충청남도 617
 
1.9%
강원도 606
 
1.8%
전라북도 577
 
1.7%
충청북도 448
 
1.3%
제주특별자치도 316
 
0.9%
서울특별시 310
 
0.9%
Other values (6758) 27173
81.6%
2023-12-12T13:13:04.360697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26201
 
18.1%
도 6458
 
4.5%
시 5108
 
3.5%
1 4646
 
3.2%
로 3827
 
2.6%
2 3169
 
2.2%
남 3020
 
2.1%
경 2842
 
2.0%
군 2519
 
1.7%
3 2480
 
1.7%
Other values (494) 84325
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92434
63.9%
Space Separator 26201
 
18.1%
Decimal Number 22939
 
15.9%
Dash Punctuation 2124
 
1.5%
Close Punctuation 315
 
0.2%
Open Punctuation 315
 
0.2%
Other Punctuation 248
 
0.2%
Uppercase Letter 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 6458
 
7.0%
시 5108
 
5.5%
로 3827
 
4.1%
남 3020
 
3.3%
경 2842
 
3.1%
군 2519
 
2.7%
면 2472
 
2.7%
구 2415
 
2.6%
북 2385
 
2.6%
산 2114
 
2.3%
Other values (470) 59274
64.1%
Decimal Number
ValueCountFrequency (%)
1 4646
20.3%
2 3169
13.8%
3 2480
10.8%
4 2108
9.2%
5 2050
8.9%
0 1889
8.2%
6 1812
 
7.9%
7 1786
 
7.8%
8 1519
 
6.6%
9 1480
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
F 6
31.6%
B 3
15.8%
A 3
15.8%
D 3
15.8%
J 2
 
10.5%
C 1
 
5.3%
E 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 235
94.8%
？ 11
 
4.4%
* 2
 
0.8%
Space Separator
ValueCountFrequency (%)
26201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 315
100.0%
Open Punctuation
ValueCountFrequency (%)
( 315
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92434
63.9%
Common 52142
36.1%
Latin 19
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 6458
 
7.0%
시 5108
 
5.5%
로 3827
 
4.1%
남 3020
 
3.3%
경 2842
 
3.1%
군 2519
 
2.7%
면 2472
 
2.7%
구 2415
 
2.6%
북 2385
 
2.6%
산 2114
 
2.3%
Other values (470) 59274
64.1%
Common
ValueCountFrequency (%)
26201
50.2%
1 4646
 
8.9%
2 3169
 
6.1%
3 2480
 
4.8%
- 2124
 
4.1%
4 2108
 
4.0%
5 2050
 
3.9%
0 1889
 
3.6%
6 1812
 
3.5%
7 1786
 
3.4%
Other values (7) 3877
 
7.4%
Latin
ValueCountFrequency (%)
F 6
31.6%
B 3
15.8%
A 3
15.8%
D 3
15.8%
J 2
 
10.5%
C 1
 
5.3%
E 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92434
63.9%
ASCII 52150
36.1%
None 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26201
50.2%
1 4646
 
8.9%
2 3169
 
6.1%
3 2480
 
4.8%
- 2124
 
4.1%
4 2108
 
4.0%
5 2050
 
3.9%
0 1889
 
3.6%
6 1812
 
3.5%
7 1786
 
3.4%
Other values (13) 3885
 
7.4%
Hangul
ValueCountFrequency (%)
도 6458
 
7.0%
시 5108
 
5.5%
로 3827
 
4.1%
남 3020
 
3.3%
경 2842
 
3.1%
군 2519
 
2.7%
면 2472
 
2.7%
구 2415
 
2.6%
북 2385
 
2.6%
산 2114
 
2.3%
Other values (470) 59274
64.1%
None
ValueCountFrequency (%)
？ 11
100.0%

충전기ID
Real number (ℝ)

HIGH CORRELATION 

Distinct54
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.673993
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.5 KiB
2023-12-12T13:13:04.577281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q322
95-th percentile52
Maximum98
Range97
Interquartile range (IQR)21

Descriptive statistics

Standard deviation20.369497
Coefficient of variation (CV)1.3881359
Kurtosis5.2972905
Mean14.673993
Median Absolute Deviation (MAD)2
Skewness2.2286334
Sum104156
Variance414.91639
MonotonicityNot monotonic
2023-12-12T13:13:05.102827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2790
39.3%
22 824
 
11.6%
21 824
 
11.6%
2 701
 
9.9%
11 358
 
5.0%
12 356
 
5.0%
91 192
 
2.7%
3 124
 
1.7%
52 119
 
1.7%
44 97
 
1.4%
Other values (44) 713
 
10.0%
ValueCountFrequency (%)
1 2790
39.3%
2 701
 
9.9%
3 124
 
1.7%
4 68
 
1.0%
5 8
 
0.1%
6 5
 
0.1%
7 4
 
0.1%
8 4
 
0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
98 1
 
< 0.1%
97 1
 
< 0.1%
96 1
 
< 0.1%
95 1
 
< 0.1%
94 4
 
0.1%
93 5
 
0.1%
92 37
 
0.5%
91 192
2.7%
89 2
 
< 0.1%
88 2
 
< 0.1%

급속충전량
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.6 KiB
급속(100kW단독)
2668 
급속(200kW동시)
2358 
급속(50kW)
1057 
급속(100kW멀티)
489 
급속(100kW동시)
378 
Other values (2)
 
148

Length

Max length12
Median length11
Mean length10.557763
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
급속(100kW단독) 2668
37.6%
급속(200kW동시) 2358
33.2%
급속(50kW) 1057
 
14.9%
급속(100kW멀티) 489
 
6.9%
급속(100kW동시) 378
 
5.3%
급속(400kW동시) 116
 
1.6%
초급속(350kW단독) 32
 
0.5%

Length

2023-12-12T13:13:05.291698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:13:05.445514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
급속(100kw단독 2668
37.6%
급속(200kw동시 2358
33.2%
급속(50kw 1057
 
14.9%
급속(100kw멀티 489
 
6.9%
급속(100kw동시 378
 
5.3%
급속(400kw동시 116
 
1.6%
초급속(350kw단독 32
 
0.5%

충전기타입
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.6 KiB
DC콤보
5476 
DC차데모+AC3상+DC콤보
1621 
DC차데모+DC콤보
 
1

Length

Max length15
Median length4
Mean length6.5129614
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
DC콤보 5476
77.1%
DC차데모+AC3상+DC콤보 1621
 
22.8%
DC차데모+DC콤보 1
 
< 0.1%

Length

2023-12-12T13:13:05.598125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:13:05.716158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dc콤보 5476
77.1%
dc차데모+ac3상+dc콤보 1621
 
22.8%
dc차데모+dc콤보 1
 
< 0.1%

시설구분(대)
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.6 KiB
공공시설
2579 
주차시설
1406 
관광시설
767 
휴게시설
705 
근린생활시설
482 
Other values (5)
1159 

Length

Max length6
Median length4
Mean length4.2809242
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공시설 2579
36.3%
주차시설 1406
19.8%
관광시설 767
 
10.8%
휴게시설 705
 
9.9%
근린생활시설 482
 
6.8%
상업시설 475
 
6.7%
교육문화시설 456
 
6.4%
기타시설 169
 
2.4%
공동주택시설 32
 
0.5%
차량정비시설 27
 
0.4%

Length

2023-12-12T13:13:05.939047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:13:06.145033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공시설 2579
36.3%
주차시설 1406
19.8%
관광시설 767
 
10.8%
휴게시설 705
 
9.9%
근린생활시설 482
 
6.8%
상업시설 475
 
6.7%
교육문화시설 456
 
6.4%
기타시설 169
 
2.4%
공동주택시설 32
 
0.5%
차량정비시설 27
 
0.4%

시설구분(소)
Text

Distinct51
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size55.6 KiB
2023-12-12T13:13:06.449572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.3674274
Min length2

Characters and Unicode

Total characters31000
Distinct characters92
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 row숙박시설
2nd row공영주차장
3rd row공영주차장
4th row공영주차장
5th row공영주차장
ValueCountFrequency (%)
공영주차장 1049
13.6%
공공기관 705
 
9.1%
주민센터 704
 
9.1%
지자체시설 652
 
8.4%
휴게소 641
 
8.3%
고속도로 622
 
8.0%
관공서 510
 
6.6%
마트(쇼핑몰 337
 
4.4%
공원 298
 
3.9%
관광지 238
 
3.1%
Other values (42) 1983
25.6%
2023-12-12T13:13:06.943588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 3534
 
11.4%
주 2171
 
7.0%
관 1835
 
5.9%
장 1735
 
5.6%
차 1406
 
4.5%
기 1115
 
3.6%
영 1067
 
3.4%
지 1040
 
3.4%
소 829
 
2.7%
시 796
 
2.6%
Other values (82) 15472
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29609
95.5%
Space Separator 641
 
2.1%
Close Punctuation 369
 
1.2%
Open Punctuation 369
 
1.2%
Uppercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 3534
 
11.9%
주 2171
 
7.3%
관 1835
 
6.2%
장 1735
 
5.9%
차 1406
 
4.7%
기 1115
 
3.8%
영 1067
 
3.6%
지 1040
 
3.5%
소 829
 
2.8%
시 796
 
2.7%
Other values (78) 14081
47.6%
Space Separator
ValueCountFrequency (%)
641
100.0%
Close Punctuation
ValueCountFrequency (%)
) 369
100.0%
Open Punctuation
ValueCountFrequency (%)
( 369
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29609
95.5%
Common 1379
 
4.4%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 3534
 
11.9%
주 2171
 
7.3%
관 1835
 
6.2%
장 1735
 
5.9%
차 1406
 
4.7%
기 1115
 
3.8%
영 1067
 
3.6%
지 1040
 
3.5%
소 829
 
2.8%
시 796
 
2.7%
Other values (78) 14081
47.6%
Common
ValueCountFrequency (%)
641
46.5%
) 369
26.8%
( 369
26.8%
Latin
ValueCountFrequency (%)
C 12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29609
95.5%
ASCII 1391
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 3534
 
11.9%
주 2171
 
7.3%
관 1835
 
6.2%
장 1735
 
5.9%
차 1406
 
4.7%
기 1115
 
3.8%
영 1067
 
3.6%
지 1040
 
3.5%
소 829
 
2.8%
시 796
 
2.7%
Other values (78) 14081
47.6%
ASCII
ValueCountFrequency (%)
641
46.1%
) 369
26.5%
( 369
26.5%
C 12
 
0.9%

2022년 충전횟수(연간)
Real number (ℝ)

HIGH CORRELATION 

Distinct2646
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1045.7043
Minimum0
Maximum8988
Zeros17
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size62.5 KiB
2023-12-12T13:13:07.165040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57
Q1260
median667
Q31432
95-th percentile3277.75
Maximum8988
Range8988
Interquartile range (IQR)1172

Descriptive statistics

Standard deviation1141.475
Coefficient of variation (CV)1.0915849
Kurtosis6.9445946
Mean1045.7043
Median Absolute Deviation (MAD)481
Skewness2.255286
Sum7422409
Variance1302965.1
MonotonicityNot monotonic
2023-12-12T13:13:07.361073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17
 
0.2%
140 16
 
0.2%
3 14
 
0.2%
76 14
 
0.2%
56 14
 
0.2%
128 13
 
0.2%
247 13
 
0.2%
141 13
 
0.2%
181 12
 
0.2%
186 12
 
0.2%
Other values (2636) 6960
98.1%
ValueCountFrequency (%)
0 17
0.2%
1 8
0.1%
2 5
 
0.1%
3 14
0.2%
4 8
0.1%
5 6
 
0.1%
6 9
0.1%
7 8
0.1%
8 2
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
8988 1
< 0.1%
8820 1
< 0.1%
8554 1
< 0.1%
8407 1
< 0.1%
8260 1
< 0.1%
8004 1
< 0.1%
7990 1
< 0.1%
7761 1
< 0.1%
7701 1
< 0.1%
7675 1
< 0.1%

2022년 충전횟수_월간(평균)
Real number (ℝ)

HIGH CORRELATION 

Distinct472
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.181037
Minimum0
Maximum749
Zeros58
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size62.5 KiB
2023-12-12T13:13:07.561829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q122
median56
Q3119
95-th percentile273.15
Maximum749
Range749
Interquartile range (IQR)97

Descriptive statistics

Standard deviation95.127323
Coefficient of variation (CV)1.091147
Kurtosis6.944617
Mean87.181037
Median Absolute Deviation (MAD)40
Skewness2.2553403
Sum618811
Variance9049.2076
MonotonicityNot monotonic
2023-12-12T13:13:07.777663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 103
 
1.5%
21 97
 
1.4%
7 95
 
1.3%
16 93
 
1.3%
13 91
 
1.3%
6 89
 
1.3%
15 86
 
1.2%
9 86
 
1.2%
17 84
 
1.2%
11 84
 
1.2%
Other values (462) 6190
87.2%
ValueCountFrequency (%)
0 58
0.8%
1 61
0.9%
2 53
0.7%
3 78
1.1%
4 79
1.1%
5 83
1.2%
6 89
1.3%
7 95
1.3%
8 79
1.1%
9 86
1.2%
ValueCountFrequency (%)
749 1
< 0.1%
735 1
< 0.1%
713 1
< 0.1%
701 1
< 0.1%
688 1
< 0.1%
667 1
< 0.1%
666 1
< 0.1%
647 1
< 0.1%
642 1
< 0.1%
640 1
< 0.1%

2022년 충전횟수_일간(평균)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8493942
Minimum0
Maximum25
Zeros1261
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size62.5 KiB
2023-12-12T13:13:07.989875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile9
Maximum25
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.1542471
Coefficient of variation (CV)1.1069887
Kurtosis6.7388215
Mean2.8493942
Median Absolute Deviation (MAD)1
Skewness2.2019001
Sum20225
Variance9.9492747
MonotonicityNot monotonic
2023-12-12T13:13:08.205420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1852
26.1%
0 1261
17.8%
2 1137
16.0%
3 835
11.8%
4 548
 
7.7%
5 426
 
6.0%
6 267
 
3.8%
7 206
 
2.9%
8 156
 
2.2%
9 98
 
1.4%
Other values (16) 312
 
4.4%
ValueCountFrequency (%)
0 1261
17.8%
1 1852
26.1%
2 1137
16.0%
3 835
11.8%
4 548
 
7.7%
5 426
 
6.0%
6 267
 
3.8%
7 206
 
2.9%
8 156
 
2.2%
9 98
 
1.4%
ValueCountFrequency (%)
25 1
 
< 0.1%
24 1
 
< 0.1%
23 3
 
< 0.1%
22 2
 
< 0.1%
21 7
 
0.1%
20 4
 
0.1%
19 10
0.1%
18 10
0.1%
17 19
0.3%
16 15
0.2%

Interactions

2023-12-12T13:12:59.959676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:12:58.312443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:12:58.835941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:12:59.376389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:00.089536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:12:58.424305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:12:58.969742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:12:59.557608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:00.224792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:12:58.547658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:12:59.094319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:12:59.693980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:00.391714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:12:58.702680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:12:59.244301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:12:59.828508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:13:08.350732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도충전기ID급속충전량충전기타입시설구분(대)시설구분(소)2022년 충전횟수(연간)2022년 충전횟수_월간(평균)2022년 충전횟수_일간(평균)
시도1.0000.2070.2330.2110.3010.5010.2880.2880.291
충전기ID0.2071.0000.9140.4760.3020.5260.1640.1630.167
급속충전량0.2330.9141.0000.7560.3420.5170.2830.2840.288
충전기타입0.2110.4760.7561.0000.3240.4630.3820.3820.384
시설구분(대)0.3010.3020.3420.3241.0000.9990.4910.4920.487
시설구분(소)0.5010.5260.5170.4630.9991.0000.4790.4790.475
2022년 충전횟수(연간)0.2880.1640.2830.3820.4910.4791.0001.0000.998
2022년 충전횟수_월간(평균)0.2880.1630.2840.3820.4920.4791.0001.0000.998
2022년 충전횟수_일간(평균)0.2910.1670.2880.3840.4870.4750.9980.9981.000
2023-12-12T13:13:08.549824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도충전기타입급속충전량시설구분(대)
시도1.0000.1150.1070.122
충전기타입0.1151.0000.6890.205
급속충전량0.1070.6891.0000.181
시설구분(대)0.1220.2050.1811.000
2023-12-12T13:13:08.709373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전기ID2022년 충전횟수(연간)2022년 충전횟수_월간(평균)2022년 충전횟수_일간(평균)시도급속충전량충전기타입시설구분(대)
충전기ID1.000-0.189-0.189-0.1860.0950.5660.3640.158
2022년 충전횟수(연간)-0.1891.0001.0000.9850.1160.1470.2480.170
2022년 충전횟수_월간(평균)-0.1891.0001.0000.9850.1160.1470.2490.170
2022년 충전횟수_일간(평균)-0.1860.9850.9851.0000.1150.1490.2480.169
시도0.0950.1160.1160.1151.0000.1070.1150.122
급속충전량0.5660.1470.1470.1490.1071.0000.6890.181
충전기타입0.3640.2480.2490.2480.1150.6891.0000.205
시설구분(대)0.1580.1700.1700.1690.1220.1810.2051.000

Missing values

2023-12-12T13:13:00.584560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:13:00.853420image/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

시도군구충전소명주소충전기ID급속충전량충전기타입시설구분(대)시설구분(소)2022년 충전횟수(연간)2022년 충전횟수_월간(평균)2022년 충전횟수_일간(평균)
0서울특별시강남구노보텔서울특별시 강남구 봉은사로 1301급속(50kW)DC차데모+AC3상+DC콤보상업시설숙박시설813682
1서울특별시강동구암사1동 공영주차장서울특별시 강동구 고덕로28길 361급속(50kW)DC차데모+AC3상+DC콤보주차시설공영주차장20431706
2서울특별시강동구천호유수지 공영주차장서울특별시 강동구 선사로 701급속(50kW)DC차데모+AC3상+DC콤보주차시설공영주차장30322538
3서울특별시강동구천호3동 제1공영주차장서울특별시 강동구 진황도로29길 341급속(50kW)DC차데모+AC3상+DC콤보주차시설공영주차장17161435
4서울특별시강서구가로공원로 지하공영주차장서울특별시 강서구 가로공원로 1891급속(50kW)DC차데모+AC3상+DC콤보주차시설공영주차장12131013
5서울특별시강서구곰달래문화복지센터 공영주차장서울특별시 강서구 강서로5길 501급속(50kW)DC차데모+AC3상+DC콤보주차시설공영주차장29532468
6서울특별시강서구볏골공원 지하공영주차장서울특별시 강서구 까치산로4길 221급속(50kW)DC차데모+AC3상+DC콤보주차시설공영주차장19001585
7서울특별시강서구화곡6-1 공영주차장서울특별시 강서구 우장산로 1141급속(50kW)DC차데모+AC3상+DC콤보주차시설공영주차장12751063
8서울특별시강서구홈플러스 강서점서울특별시 강서구 화곡로 3981급속(50kW)DC차데모+AC3상+DC콤보상업시설마트(쇼핑몰)14151184
9서울특별시관악구신림동 제1공영주차장서울특별시 관악구 관천로 981급속(50kW)DC차데모+AC3상+DC콤보주차시설공영주차장30732568
시도군구충전소명주소충전기ID급속충전량충전기타입시설구분(대)시설구분(소)2022년 충전횟수(연간)2022년 충전횟수_월간(평균)2022년 충전횟수_일간(평균)
7088전라남도함평군함평천지휴게소(목포방향)전라남도 함평군 함평읍 서해안고속도로 311급속(50kW)DC차데모+AC3상+DC콤보휴게시설고속도로 휴게소370311
7089경상북도청도군청도새마을휴게소(대구방향)경상북도 청도군 청도읍 하지길 59-501급속(50kW)DC차데모+AC3상+DC콤보휴게시설고속도로 휴게소13241104
7090제주특별자치도서귀포시서귀포천지연폭포제주특별자치도 서귀포시 남성중로 2-151급속(50kW)DC차데모+AC3상+DC콤보관광시설관광지000
7091세종특별자치시세종특별자치시정부세종청사세종특별자치시 도움6로 111급속(50kW)DC차데모+AC3상+DC콤보공공시설관공서5550
7092제주특별자치도제주시도남1차e편한세상아파트제주특별자치도 제주시 오남로 7-131급속(50kW)DC차데모+AC3상+DC콤보공동주택시설아파트300
7093강원도평창군평창알펜시아리조트강원도 평창군 대관령면 솔봉로 3251급속(50kW)DC차데모+AC3상+DC콤보주차시설일반주차장354301
7094세종특별자치시세종특별자치시첫마을 BRT 환승주차장 A세종특별자치시 나성남로 7-71급속(100kW멀티)DC차데모+AC3상+DC콤보주차시설환승주차장1310
7095세종특별자치시세종특별자치시첫마을 BRT 환승주차장 B세종특별자치시 나성남로 7-71급속(100kW멀티)DC차데모+AC3상+DC콤보주차시설환승주차장1710
7096제주특별자치도제주시만장굴제주특별자치도 제주시 구좌읍 만장굴길 1821급속(100kW단독)DC차데모+AC3상+DC콤보관광시설관광지1610
7097제주특별자치도제주시제주종합경기장2제주특별자치도 제주시 서광로2길 241급속(100kW멀티)DC차데모+AC3상+DC콤보공공시설지자체시설000