Overview

Dataset statistics

Number of variables5
Number of observations5303
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory207.3 KiB
Average record size in memory40.0 B

Variable types

Text4
DateTime1

Dataset

Description한국전력공사에서 설치한 충전소 이용을 위한 부가정보(충전소명, 이용가능시간, 주차비, 등록일자 등)에 대한 데이터 입니다.
URLhttps://www.data.go.kr/data/15039558/fileData.do

Alerts

Dataset has 2 (< 0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 16:25:23.825268
Analysis finished2023-12-12 16:25:24.763015
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct5156
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size41.6 KiB
2023-12-13T01:25:24.972343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.971337
Min length3

Characters and Unicode

Total characters47575
Distinct characters660
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5043 ?
Unique (%)95.1%

Sample

1st row역삼래미안
2nd row현대까르띠에710아파트
3rd row여의도 은하
4th row열매마을5단지
5th row서진아파트
ValueCountFrequency (%)
아파트 771
 
10.0%
공영주차장 181
 
2.3%
주차장 96
 
1.2%
행정복지센터 71
 
0.9%
홈플러스 64
 
0.8%
충전소 51
 
0.7%
이마트 33
 
0.4%
하나로마트 27
 
0.4%
주민센터 24
 
0.3%
전기차충전소 22
 
0.3%
Other values (5611) 6369
82.6%
2023-12-13T01:25:25.432219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2407
 
5.1%
1741
 
3.7%
1700
 
3.6%
1671
 
3.5%
1424
 
3.0%
1048
 
2.2%
1009
 
2.1%
802
 
1.7%
757
 
1.6%
754
 
1.6%
Other values (650) 34262
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42577
89.5%
Space Separator 2407
 
5.1%
Decimal Number 1482
 
3.1%
Uppercase Letter 434
 
0.9%
Open Punctuation 239
 
0.5%
Close Punctuation 238
 
0.5%
Lowercase Letter 137
 
0.3%
Dash Punctuation 37
 
0.1%
Other Punctuation 19
 
< 0.1%
Connector Punctuation 2
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1741
 
4.1%
1700
 
4.0%
1671
 
3.9%
1424
 
3.3%
1048
 
2.5%
1009
 
2.4%
802
 
1.9%
757
 
1.8%
754
 
1.8%
673
 
1.6%
Other values (586) 30998
72.8%
Uppercase Letter
ValueCountFrequency (%)
L 76
17.5%
H 65
15.0%
S 55
12.7%
K 36
8.3%
C 29
 
6.7%
G 27
 
6.2%
T 22
 
5.1%
B 19
 
4.4%
A 18
 
4.1%
E 13
 
3.0%
Other values (13) 74
17.1%
Lowercase Letter
ValueCountFrequency (%)
e 72
52.6%
k 12
 
8.8%
w 8
 
5.8%
r 8
 
5.8%
s 6
 
4.4%
l 6
 
4.4%
o 5
 
3.6%
n 4
 
2.9%
t 3
 
2.2%
a 3
 
2.2%
Other values (7) 10
 
7.3%
Decimal Number
ValueCountFrequency (%)
1 466
31.4%
2 431
29.1%
3 186
 
12.6%
5 82
 
5.5%
4 78
 
5.3%
6 68
 
4.6%
7 50
 
3.4%
0 49
 
3.3%
9 37
 
2.5%
8 35
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 7
36.8%
, 7
36.8%
· 4
21.1%
& 1
 
5.3%
Open Punctuation
ValueCountFrequency (%)
( 238
99.6%
[ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 237
99.6%
] 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2407
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42578
89.5%
Common 4425
 
9.3%
Latin 572
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1741
 
4.1%
1700
 
4.0%
1671
 
3.9%
1424
 
3.3%
1048
 
2.5%
1009
 
2.4%
802
 
1.9%
757
 
1.8%
754
 
1.8%
673
 
1.6%
Other values (587) 30999
72.8%
Latin
ValueCountFrequency (%)
L 76
13.3%
e 72
12.6%
H 65
11.4%
S 55
 
9.6%
K 36
 
6.3%
C 29
 
5.1%
G 27
 
4.7%
T 22
 
3.8%
B 19
 
3.3%
A 18
 
3.1%
Other values (31) 153
26.7%
Common
ValueCountFrequency (%)
2407
54.4%
1 466
 
10.5%
2 431
 
9.7%
( 238
 
5.4%
) 237
 
5.4%
3 186
 
4.2%
5 82
 
1.9%
4 78
 
1.8%
6 68
 
1.5%
7 50
 
1.1%
Other values (12) 182
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42577
89.5%
ASCII 4992
 
10.5%
None 5
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2407
48.2%
1 466
 
9.3%
2 431
 
8.6%
( 238
 
4.8%
) 237
 
4.7%
3 186
 
3.7%
5 82
 
1.6%
4 78
 
1.6%
L 76
 
1.5%
e 72
 
1.4%
Other values (51) 719
 
14.4%
Hangul
ValueCountFrequency (%)
1741
 
4.1%
1700
 
4.0%
1671
 
3.9%
1424
 
3.3%
1048
 
2.5%
1009
 
2.4%
802
 
1.9%
757
 
1.8%
754
 
1.8%
673
 
1.6%
Other values (586) 30998
72.8%
None
ValueCountFrequency (%)
· 4
80.0%
1
 
20.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct147
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size41.6 KiB
2023-12-13T01:25:25.626409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length4
Mean length5.7574958
Min length1

Characters and Unicode

Total characters30532
Distinct characters118
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)2.0%

Sample

1st row24시간
2nd row24시간
3rd row부가정보없음
4th row24시간
5th row24시간
ValueCountFrequency (%)
24시간 4733
66.0%
개방 630
 
8.8%
※외부인 625
 
8.7%
260
 
3.6%
주중/주말 213
 
3.0%
부가정보없음 181
 
2.5%
06~23시 96
 
1.3%
06시~23시 58
 
0.8%
미개방 22
 
0.3%
06시 19
 
0.3%
Other values (179) 330
 
4.6%
2023-12-13T01:25:25.937910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5147
16.9%
2 5032
16.5%
4 4771
15.6%
4767
15.6%
2489
8.2%
806
 
2.6%
665
 
2.2%
662
 
2.2%
627
 
2.1%
626
 
2.1%
Other values (108) 4940
16.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15491
50.7%
Decimal Number 10988
36.0%
Space Separator 2489
 
8.2%
Other Punctuation 1183
 
3.9%
Math Symbol 313
 
1.0%
Open Punctuation 27
 
0.1%
Close Punctuation 26
 
0.1%
Dash Punctuation 11
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5147
33.2%
4767
30.8%
806
 
5.2%
665
 
4.3%
662
 
4.3%
627
 
4.0%
626
 
4.0%
464
 
3.0%
228
 
1.5%
226
 
1.5%
Other values (86) 1273
 
8.2%
Decimal Number
ValueCountFrequency (%)
2 5032
45.8%
4 4771
43.4%
0 491
 
4.5%
3 211
 
1.9%
6 191
 
1.7%
1 122
 
1.1%
9 87
 
0.8%
8 69
 
0.6%
7 11
 
0.1%
5 3
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
625
52.8%
: 320
27.0%
/ 220
 
18.6%
, 18
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
X 2
50.0%
S 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
2489
100.0%
Math Symbol
ValueCountFrequency (%)
~ 313
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15491
50.7%
Common 15037
49.2%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5147
33.2%
4767
30.8%
806
 
5.2%
665
 
4.3%
662
 
4.3%
627
 
4.0%
626
 
4.0%
464
 
3.0%
228
 
1.5%
226
 
1.5%
Other values (86) 1273
 
8.2%
Common
ValueCountFrequency (%)
2 5032
33.5%
4 4771
31.7%
2489
16.6%
625
 
4.2%
0 491
 
3.3%
: 320
 
2.1%
~ 313
 
2.1%
/ 220
 
1.5%
3 211
 
1.4%
6 191
 
1.3%
Other values (9) 374
 
2.5%
Latin
ValueCountFrequency (%)
X 2
50.0%
S 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15491
50.7%
ASCII 14416
47.2%
Punctuation 625
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5147
33.2%
4767
30.8%
806
 
5.2%
665
 
4.3%
662
 
4.3%
627
 
4.0%
626
 
4.0%
464
 
3.0%
228
 
1.5%
226
 
1.5%
Other values (86) 1273
 
8.2%
ASCII
ValueCountFrequency (%)
2 5032
34.9%
4 4771
33.1%
2489
17.3%
0 491
 
3.4%
: 320
 
2.2%
~ 313
 
2.2%
/ 220
 
1.5%
3 211
 
1.5%
6 191
 
1.3%
1 122
 
0.8%
Other values (11) 256
 
1.8%
Punctuation
ValueCountFrequency (%)
625
100.0%
Distinct3515
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Memory size41.6 KiB
2023-12-13T01:25:26.232981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length10.597775
Min length1

Characters and Unicode

Total characters56200
Distinct characters548
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3224 ?
Unique (%)60.8%

Sample

1st row지하2층 107동 3-4라인
2nd row지하주차장 진입 후 바로 좌측
3rd row지상
4th row지하주차장
5th row지하1층주차장
ValueCountFrequency (%)
주차장 1544
 
12.3%
지하주차장 570
 
4.6%
지상주차장 426
 
3.4%
353
 
2.8%
지하1층 329
 
2.6%
지하 300
 
2.4%
지하2층 251
 
2.0%
1층 217
 
1.7%
입구 198
 
1.6%
189
 
1.5%
Other values (3349) 8129
65.0%
2023-12-13T01:25:26.660076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7218
 
12.8%
3823
 
6.8%
3781
 
6.7%
3756
 
6.7%
2985
 
5.3%
1 2631
 
4.7%
2044
 
3.6%
0 1422
 
2.5%
2 1386
 
2.5%
1365
 
2.4%
Other values (538) 25789
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37730
67.1%
Decimal Number 8007
 
14.2%
Space Separator 7218
 
12.8%
Uppercase Letter 1103
 
2.0%
Open Punctuation 751
 
1.3%
Close Punctuation 740
 
1.3%
Other Punctuation 324
 
0.6%
Dash Punctuation 251
 
0.4%
Lowercase Letter 38
 
0.1%
Math Symbol 35
 
0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3823
 
10.1%
3781
 
10.0%
3756
 
10.0%
2985
 
7.9%
2044
 
5.4%
1365
 
3.6%
1350
 
3.6%
817
 
2.2%
567
 
1.5%
489
 
1.3%
Other values (473) 16753
44.4%
Uppercase Letter
ValueCountFrequency (%)
B 469
42.5%
F 191
17.3%
A 112
 
10.2%
P 70
 
6.3%
C 64
 
5.8%
D 53
 
4.8%
G 29
 
2.6%
T 19
 
1.7%
E 17
 
1.5%
O 14
 
1.3%
Other values (15) 65
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
m 12
31.6%
t 3
 
7.9%
a 3
 
7.9%
s 3
 
7.9%
e 3
 
7.9%
c 2
 
5.3%
f 2
 
5.3%
b 2
 
5.3%
n 2
 
5.3%
o 2
 
5.3%
Other values (4) 4
 
10.5%
Decimal Number
ValueCountFrequency (%)
1 2631
32.9%
0 1422
17.8%
2 1386
17.3%
3 701
 
8.8%
4 488
 
6.1%
5 389
 
4.9%
6 319
 
4.0%
7 258
 
3.2%
8 229
 
2.9%
9 184
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 233
71.9%
. 40
 
12.3%
/ 40
 
12.3%
: 8
 
2.5%
# 1
 
0.3%
· 1
 
0.3%
* 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 33
94.3%
+ 1
 
2.9%
> 1
 
2.9%
Space Separator
ValueCountFrequency (%)
7218
100.0%
Open Punctuation
ValueCountFrequency (%)
( 751
100.0%
Close Punctuation
ValueCountFrequency (%)
) 740
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 251
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37730
67.1%
Common 17329
30.8%
Latin 1141
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3823
 
10.1%
3781
 
10.0%
3756
 
10.0%
2985
 
7.9%
2044
 
5.4%
1365
 
3.6%
1350
 
3.6%
817
 
2.2%
567
 
1.5%
489
 
1.3%
Other values (473) 16753
44.4%
Latin
ValueCountFrequency (%)
B 469
41.1%
F 191
16.7%
A 112
 
9.8%
P 70
 
6.1%
C 64
 
5.6%
D 53
 
4.6%
G 29
 
2.5%
T 19
 
1.7%
E 17
 
1.5%
O 14
 
1.2%
Other values (29) 103
 
9.0%
Common
ValueCountFrequency (%)
7218
41.7%
1 2631
 
15.2%
0 1422
 
8.2%
2 1386
 
8.0%
( 751
 
4.3%
) 740
 
4.3%
3 701
 
4.0%
4 488
 
2.8%
5 389
 
2.2%
6 319
 
1.8%
Other values (16) 1284
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37730
67.1%
ASCII 18468
32.9%
Misc Symbols 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7218
39.1%
1 2631
 
14.2%
0 1422
 
7.7%
2 1386
 
7.5%
( 751
 
4.1%
) 740
 
4.0%
3 701
 
3.8%
4 488
 
2.6%
B 469
 
2.5%
5 389
 
2.1%
Other values (53) 2273
 
12.3%
Hangul
ValueCountFrequency (%)
3823
 
10.1%
3781
 
10.0%
3756
 
10.0%
2985
 
7.9%
2044
 
5.4%
1365
 
3.6%
1350
 
3.6%
817
 
2.2%
567
 
1.5%
489
 
1.3%
Other values (473) 16753
44.4%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct244
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size41.6 KiB
2023-12-13T01:25:26.963508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length59
Mean length4.096172
Min length1

Characters and Unicode

Total characters21722
Distinct characters224
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)3.2%

Sample

1st row부가정보없음
2nd row부가정보없음
3rd row부가정보없음
4th row부가정보없음
5th row0
ValueCountFrequency (%)
부가정보없음 1602
24.6%
0 1432
22.0%
무료 1067
16.4%
없음 559
 
8.6%
충전시 286
 
4.4%
주차비 201
 
3.1%
1시간 170
 
2.6%
입주민 69
 
1.1%
면제 67
 
1.0%
유료 63
 
1.0%
Other values (304) 1006
15.4%
2023-12-13T01:25:27.386413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2209
 
10.2%
2191
 
10.1%
0 1716
 
7.9%
1634
 
7.5%
1634
 
7.5%
1619
 
7.5%
1605
 
7.4%
1219
 
5.6%
1195
 
5.5%
1174
 
5.4%
Other values (214) 5526
25.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18006
82.9%
Decimal Number 2160
 
9.9%
Space Separator 1219
 
5.6%
Other Punctuation 205
 
0.9%
Close Punctuation 59
 
0.3%
Open Punctuation 59
 
0.3%
Uppercase Letter 6
 
< 0.1%
Math Symbol 5
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2209
12.3%
2191
12.2%
1634
9.1%
1634
9.1%
1619
9.0%
1605
8.9%
1195
 
6.6%
1174
 
6.5%
581
 
3.2%
394
 
2.2%
Other values (187) 3770
20.9%
Decimal Number
ValueCountFrequency (%)
0 1716
79.4%
1 244
 
11.3%
5 111
 
5.1%
3 36
 
1.7%
2 25
 
1.2%
6 12
 
0.6%
8 6
 
0.3%
4 5
 
0.2%
7 3
 
0.1%
9 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
% 93
45.4%
, 75
36.6%
/ 29
 
14.1%
. 6
 
2.9%
: 2
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
O 2
33.3%
V 1
16.7%
K 1
16.7%
S 1
16.7%
X 1
16.7%
Math Symbol
ValueCountFrequency (%)
~ 3
60.0%
+ 2
40.0%
Space Separator
ValueCountFrequency (%)
1219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18004
82.9%
Common 3708
 
17.1%
Latin 8
 
< 0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2209
12.3%
2191
12.2%
1634
9.1%
1634
9.1%
1619
9.0%
1605
8.9%
1195
 
6.6%
1174
 
6.5%
581
 
3.2%
394
 
2.2%
Other values (185) 3768
20.9%
Common
ValueCountFrequency (%)
0 1716
46.3%
1219
32.9%
1 244
 
6.6%
5 111
 
3.0%
% 93
 
2.5%
, 75
 
2.0%
) 59
 
1.6%
( 59
 
1.6%
3 36
 
1.0%
/ 29
 
0.8%
Other values (11) 67
 
1.8%
Latin
ValueCountFrequency (%)
x 2
25.0%
O 2
25.0%
V 1
12.5%
K 1
12.5%
S 1
12.5%
X 1
12.5%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18003
82.9%
ASCII 3715
 
17.1%
CJK 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2209
12.3%
2191
12.2%
1634
9.1%
1634
9.1%
1619
9.0%
1605
8.9%
1195
 
6.6%
1174
 
6.5%
581
 
3.2%
394
 
2.2%
Other values (184) 3767
20.9%
ASCII
ValueCountFrequency (%)
0 1716
46.2%
1219
32.8%
1 244
 
6.6%
5 111
 
3.0%
% 93
 
2.5%
, 75
 
2.0%
) 59
 
1.6%
( 59
 
1.6%
3 36
 
1.0%
/ 29
 
0.8%
Other values (16) 74
 
2.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct1719
Distinct (%)32.4%
Missing1
Missing (%)< 0.1%
Memory size41.6 KiB
Minimum2016-10-27 00:00:00
Maximum2023-07-14 14:14:00
2023-12-13T01:25:27.552272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:25:27.697515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2023-12-13T01:25:24.609617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:25:24.712920image/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

충전소이름이용가능시간자세한 위치주차비등록일자
0역삼래미안24시간지하2층 107동 3-4라인부가정보없음2017-12-26 17:53:00
1현대까르띠에710아파트24시간지하주차장 진입 후 바로 좌측부가정보없음2017-12-26 17:53:00
2여의도 은하부가정보없음지상부가정보없음2017-12-26 17:53:00
3열매마을5단지24시간지하주차장부가정보없음2017-12-26 17:53:00
4서진아파트24시간지하1층주차장02017-12-26 17:53:00
5팜스프링아파트24시간119동 지하3층 B3302017-12-26 17:53:00
6홍제힐스테이트24시간107동 지하2층주차장무료2017-12-26 17:53:00
7길음래미안3차24시간610동 지하3층 1,2호거주민 전용2017-12-26 17:53:00
8신내우디안2단지아파트부가정보없음부가정보없음부가정보없음2017-12-26 17:53:00
9호성동LG동아24시간 ※외부인 개방110동 지하 주차장02017-08-25 00:00:00
충전소이름이용가능시간자세한 위치주차비등록일자
5293횡성지사 전기차 충전소 224시간횡성지사 후문 주차장부가정보없음2023-04-05 09:34:00
5294강동문화복지회관24시간P302023-06-21 09:56:00
5295급속0124시간지사 후면 주차장충전시 무료2023-04-20 10:55:00
5296중리공영주차장24시간중리공영주차장 입구무료2023-06-28 13:38:00
5297대전충남직할(업무용)24시간본부 정문 우측없음2023-07-10 14:39:00
5298(전주거치형)구포동 주거지24시간태경아파트 앞부산시 조례에 따름2023-07-06 10:11:00
5299(전주거치형)구포동 주거지24시간태경아파트 앞부산시 조례에 따름2023-07-06 10:14:00
5300대전충남직할24시간본부 정문 우측없음2023-07-10 14:34:00
5301(전주거치형)병무청 뒤24시간부산지방병무청 뒤부산시 조례에 따름2023-07-06 10:42:00
5302봉개동 공영주차장24시간주차장 끝 모서리없음2023-06-23 17:52:00

Duplicate rows

Most frequently occurring

충전소이름이용가능시간자세한 위치주차비등록일자# duplicates
0범지기마을 9단지24시간904동 지하주차장부가정보없음2017-07-09 00:00:002
1우산대광로제비앙부가정보없음지하부가정보없음2017-08-25 00:00:002