Overview

Dataset statistics

Number of variables10
Number of observations283
Missing cells2135
Missing cells (%)75.4%
Duplicate rows8
Duplicate rows (%)2.8%
Total size in memory22.5 KiB
Average record size in memory81.5 B

Variable types

Unsupported5
Text4
Categorical1

Dataset

Description관악구시설관리공단에서 운영하는 거주자우선주차구획 신청 및 배정관련 정보입니다. 등록된 데이터는 건물식에서 배정받는 거주자우선주차입니다.
URLhttps://www.data.go.kr/data/15122008/fileData.do

Alerts

Dataset has 8 (2.8%) duplicate rowsDuplicates
Unnamed: 6 is highly imbalanced (85.1%)Imbalance
Unnamed: 0 has 283 (100.0%) missing valuesMissing
Unnamed: 1 has 207 (73.1%) missing valuesMissing
Unnamed: 2 has 142 (50.2%) missing valuesMissing
Unnamed: 3 has 227 (80.2%) missing valuesMissing
Unnamed: 4 has 256 (90.5%) missing valuesMissing
Unnamed: 5 has 236 (83.4%) missing valuesMissing
Unnamed: 7 has 261 (92.2%) missing valuesMissing
Unnamed: 8 has 251 (88.7%) missing valuesMissing
Unnamed: 9 has 272 (96.1%) missing valuesMissing
Unnamed: 0 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 23:56:25.522801
Analysis finished2023-12-11 23:56:26.223040
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing283
Missing (%)100.0%
Memory size2.6 KiB

Unnamed: 1
Text

MISSING 

Distinct59
Distinct (%)77.6%
Missing207
Missing (%)73.1%
Memory size2.3 KiB
2023-12-12T08:56:26.349933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length21
Mean length9.5263158
Min length2

Characters and Unicode

Total characters724
Distinct characters152
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)59.2%

Sample

1st row 신청방법
2nd row 신청방법
3rd row 신청대상
4th row    배정기준
5th row 상가우선지역 배정기준
ValueCountFrequency (%)
이하 16
 
10.1%
11
 
6.9%
※ 7
 
4.4%
상가우선지역 4
 
2.5%
배정기준 4
 
2.5%
100m 4
 
2.5%
미만 4
 
2.5%
이상 4
 
2.5%
200m 4
 
2.5%
적용 3
 
1.9%
Other values (82) 98
61.6%
2023-12-12T08:56:26.677986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
 
20.6%
0 28
 
3.9%
  27
 
3.7%
m 24
 
3.3%
이 23
 
3.2%
하 21
 
2.9%
1 17
 
2.3%
2 16
 
2.2%
구 13
 
1.8%
상 11
 
1.5%
Other values (142) 395
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 382
52.8%
Space Separator 176
24.3%
Decimal Number 93
 
12.8%
Lowercase Letter 24
 
3.3%
Other Punctuation 18
 
2.5%
Close Punctuation 11
 
1.5%
Open Punctuation 11
 
1.5%
Dash Punctuation 6
 
0.8%
Math Symbol 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 23
 
6.0%
하 21
 
5.5%
구 13
 
3.4%
상 11
 
2.9%
동 10
 
2.6%
획 10
 
2.6%
주 8
 
2.1%
가 8
 
2.1%
정 8
 
2.1%
차 7
 
1.8%
Other values (120) 263
68.8%
Decimal Number
ValueCountFrequency (%)
0 28
30.1%
1 17
18.3%
2 16
17.2%
5 7
 
7.5%
4 7
 
7.5%
8 7
 
7.5%
3 5
 
5.4%
6 3
 
3.2%
7 2
 
2.2%
9 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
※ 7
38.9%
. 6
33.3%
: 4
22.2%
· 1
 
5.6%
Space Separator
ValueCountFrequency (%)
149
84.7%
  27
 
15.3%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
⊙ 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
m 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 382
52.8%
Common 318
43.9%
Latin 24
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 23
 
6.0%
하 21
 
5.5%
구 13
 
3.4%
상 11
 
2.9%
동 10
 
2.6%
획 10
 
2.6%
주 8
 
2.1%
가 8
 
2.1%
정 8
 
2.1%
차 7
 
1.8%
Other values (120) 263
68.8%
Common
ValueCountFrequency (%)
149
46.9%
0 28
 
8.8%
  27
 
8.5%
1 17
 
5.3%
2 16
 
5.0%
) 11
 
3.5%
( 11
 
3.5%
5 7
 
2.2%
4 7
 
2.2%
※ 7
 
2.2%
Other values (11) 38
 
11.9%
Latin
ValueCountFrequency (%)
m 24
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 382
52.8%
ASCII 306
42.3%
None 28
 
3.9%
Punctuation 7
 
1.0%
Math Operators 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
149
48.7%
0 28
 
9.2%
m 24
 
7.8%
1 17
 
5.6%
2 16
 
5.2%
) 11
 
3.6%
( 11
 
3.6%
5 7
 
2.3%
4 7
 
2.3%
8 7
 
2.3%
Other values (8) 29
 
9.5%
None
ValueCountFrequency (%)
  27
96.4%
· 1
 
3.6%
Hangul
ValueCountFrequency (%)
이 23
 
6.0%
하 21
 
5.5%
구 13
 
3.4%
상 11
 
2.9%
동 10
 
2.6%
획 10
 
2.6%
주 8
 
2.1%
가 8
 
2.1%
정 8
 
2.1%
차 7
 
1.8%
Other values (120) 263
68.8%
Punctuation
ValueCountFrequency (%)
※ 7
100.0%
Math Operators
ValueCountFrequency (%)
⊙ 1
100.0%

Unnamed: 2
Text

MISSING 

Distinct129
Distinct (%)91.5%
Missing142
Missing (%)50.2%
Memory size2.3 KiB
2023-12-12T08:56:27.009708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length54
Mean length36.652482
Min length2

Characters and Unicode

Total characters5168
Distinct characters320
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)87.9%

Sample

1st row■ 거주자우선 주차 홈페이지 신청
2nd row- 관악구시설관리공단 홈페이지에서 로그인 후 거주자 우선주차 사용자 홈페이지로 이동합니다.
3rd row- 상단에 [주차구획신청] 메뉴를 클릭합니다.
4th row- 구간검색을 클릭하여 거주지 인근 구획번호를 지도로 확인 후 희망하는 주차구간을 선택 -> 주차구획 사용신청을 클릭합니다 (2구간 신청가능)
5th row  ※구비서류 제출방법 : 팩스(02-2081-2699) 송부 후 해당동 담당자에게 수신확인 (02-2081-2680~3)
ValueCountFrequency (%)
○ 33
 
2.8%
31
 
2.6%
경우 29
 
2.4%
배정 29
 
2.4%
및 24
 
2.0%
시 16
 
1.4%
⊙ 15
 
1.3%
→ 15
 
1.3%
후 15
 
1.3%
또는 12
 
1.0%
Other values (664) 966
81.5%
2023-12-12T08:56:27.491926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1053
 
20.4%
  245
 
4.7%
주 124
 
2.4%
차 113
 
2.2%
자 94
 
1.8%
정 89
 
1.7%
가 73
 
1.4%
) 72
 
1.4%
배 66
 
1.3%
이 64
 
1.2%
Other values (310) 3175
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3393
65.7%
Space Separator 1298
 
25.1%
Decimal Number 155
 
3.0%
Other Punctuation 77
 
1.5%
Close Punctuation 73
 
1.4%
Open Punctuation 58
 
1.1%
Other Symbol 35
 
0.7%
Math Symbol 35
 
0.7%
Dash Punctuation 32
 
0.6%
Uppercase Letter 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 124
 
3.7%
차 113
 
3.3%
자 94
 
2.8%
정 89
 
2.6%
가 73
 
2.2%
배 66
 
1.9%
이 64
 
1.9%
의 59
 
1.7%
구 57
 
1.7%
사 56
 
1.7%
Other values (274) 2598
76.6%
Decimal Number
ValueCountFrequency (%)
1 38
24.5%
2 38
24.5%
0 17
11.0%
3 14
 
9.0%
6 12
 
7.7%
8 11
 
7.1%
4 10
 
6.5%
5 7
 
4.5%
9 5
 
3.2%
7 3
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 37
48.1%
. 18
23.4%
※ 12
 
15.6%
: 6
 
7.8%
· 3
 
3.9%
* 1
 
1.3%
Math Symbol
ValueCountFrequency (%)
⊙ 15
42.9%
→ 15
42.9%
~ 4
 
11.4%
> 1
 
2.9%
Other Symbol
ValueCountFrequency (%)
○ 33
94.3%
■ 1
 
2.9%
☎ 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
A 3
33.3%
X 3
33.3%
F 3
33.3%
Other Number
ValueCountFrequency (%)
③ 1
33.3%
① 1
33.3%
② 1
33.3%
Space Separator
ValueCountFrequency (%)
1053
81.1%
  245
 
18.9%
Close Punctuation
ValueCountFrequency (%)
) 72
98.6%
] 1
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 57
98.3%
[ 1
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3393
65.7%
Common 1766
34.2%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 124
 
3.7%
차 113
 
3.3%
자 94
 
2.8%
정 89
 
2.6%
가 73
 
2.2%
배 66
 
1.9%
이 64
 
1.9%
의 59
 
1.7%
구 57
 
1.7%
사 56
 
1.7%
Other values (274) 2598
76.6%
Common
ValueCountFrequency (%)
1053
59.6%
  245
 
13.9%
) 72
 
4.1%
( 57
 
3.2%
1 38
 
2.2%
2 38
 
2.2%
, 37
 
2.1%
○ 33
 
1.9%
- 32
 
1.8%
. 18
 
1.0%
Other values (23) 143
 
8.1%
Latin
ValueCountFrequency (%)
A 3
33.3%
X 3
33.3%
F 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3393
65.7%
ASCII 1447
28.0%
None 248
 
4.8%
Geometric Shapes 34
 
0.7%
Math Operators 15
 
0.3%
Arrows 15
 
0.3%
Punctuation 12
 
0.2%
Enclosed Alphanum 3
 
0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1053
72.8%
) 72
 
5.0%
( 57
 
3.9%
1 38
 
2.6%
2 38
 
2.6%
, 37
 
2.6%
- 32
 
2.2%
. 18
 
1.2%
0 17
 
1.2%
3 14
 
1.0%
Other values (15) 71
 
4.9%
None
ValueCountFrequency (%)
  245
98.8%
· 3
 
1.2%
Hangul
ValueCountFrequency (%)
주 124
 
3.7%
차 113
 
3.3%
자 94
 
2.8%
정 89
 
2.6%
가 73
 
2.2%
배 66
 
1.9%
이 64
 
1.9%
의 59
 
1.7%
구 57
 
1.7%
사 56
 
1.7%
Other values (274) 2598
76.6%
Geometric Shapes
ValueCountFrequency (%)
○ 33
97.1%
■ 1
 
2.9%
Math Operators
ValueCountFrequency (%)
⊙ 15
100.0%
Arrows
ValueCountFrequency (%)
→ 15
100.0%
Punctuation
ValueCountFrequency (%)
※ 12
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
③ 1
33.3%
① 1
33.3%
② 1
33.3%
Misc Symbols
ValueCountFrequency (%)
☎ 1
100.0%

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing227
Missing (%)80.2%
Memory size2.3 KiB

Unnamed: 4
Text

MISSING 

Distinct14
Distinct (%)51.9%
Missing256
Missing (%)90.5%
Memory size2.3 KiB
2023-12-12T08:56:27.674622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length31
Mean length7.4814815
Min length2

Characters and Unicode

Total characters202
Distinct characters68
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)33.3%

Sample

1st row자동차배출가스 1등급차량
2nd row(표지부착여부 상관없이)가점 1점 부여
3rd row주차장 공유사업 참여자 가점 1점 부여
4th row모두의 주차장 참여실적(1분~365시간) 가점 1점 부여
5th row주차장 이용기회 공평성에 의거한 배정탈락자(연속) 1회 탈락 가점 2점 부여
ValueCountFrequency (%)
1순위 9
16.7%
부여 4
 
7.4%
주차장 3
 
5.6%
1점 3
 
5.6%
전일 3
 
5.6%
가점 3
 
5.6%
주간 2
 
3.7%
3순위 2
 
3.7%
야간 2
 
3.7%
1등급 1
 
1.9%
Other values (22) 22
40.7%
2023-12-12T08:56:28.017417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
12.9%
1 16
 
7.9%
위 12
 
5.9%
순 12
 
5.9%
점 8
 
4.0%
여 7
 
3.5%
차 7
 
3.5%
가 6
 
3.0%
부 6
 
3.0%
주 5
 
2.5%
Other values (58) 97
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
71.3%
Space Separator 26
 
12.9%
Decimal Number 22
 
10.9%
Close Punctuation 4
 
2.0%
Open Punctuation 4
 
2.0%
Control 1
 
0.5%
Math Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
위 12
 
8.3%
순 12
 
8.3%
점 8
 
5.6%
여 7
 
4.9%
차 7
 
4.9%
가 6
 
4.2%
부 6
 
4.2%
주 5
 
3.5%
간 5
 
3.5%
자 4
 
2.8%
Other values (48) 72
50.0%
Decimal Number
ValueCountFrequency (%)
1 16
72.7%
3 3
 
13.6%
2 1
 
4.5%
6 1
 
4.5%
5 1
 
4.5%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
71.3%
Common 58
28.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
위 12
 
8.3%
순 12
 
8.3%
점 8
 
5.6%
여 7
 
4.9%
차 7
 
4.9%
가 6
 
4.2%
부 6
 
4.2%
주 5
 
3.5%
간 5
 
3.5%
자 4
 
2.8%
Other values (48) 72
50.0%
Common
ValueCountFrequency (%)
26
44.8%
1 16
27.6%
) 4
 
6.9%
( 4
 
6.9%
3 3
 
5.2%
1
 
1.7%
2 1
 
1.7%
~ 1
 
1.7%
6 1
 
1.7%
5 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
71.3%
ASCII 58
28.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
44.8%
1 16
27.6%
) 4
 
6.9%
( 4
 
6.9%
3 3
 
5.2%
1
 
1.7%
2 1
 
1.7%
~ 1
 
1.7%
6 1
 
1.7%
5 1
 
1.7%
Hangul
ValueCountFrequency (%)
위 12
 
8.3%
순 12
 
8.3%
점 8
 
5.6%
여 7
 
4.9%
차 7
 
4.9%
가 6
 
4.2%
부 6
 
4.2%
주 5
 
3.5%
간 5
 
3.5%
자 4
 
2.8%
Other values (48) 72
50.0%

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing236
Missing (%)83.4%
Memory size2.3 KiB

Unnamed: 6
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
271 
1순위
 
9
3순위
 
2
순 위
 
1

Length

Max length4
Median length4
Mean length3.9575972
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 271
95.8%
1순위 9
 
3.2%
3순위 2
 
0.7%
순 위 1
 
0.4%

Length

2023-12-12T08:56:28.181442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:56:28.283239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 271
95.4%
1순위 9
 
3.2%
3순위 2
 
0.7%
순 1
 
0.4%
위 1
 
0.4%

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing261
Missing (%)92.2%
Memory size2.3 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)88.7%
Memory size2.3 KiB

Unnamed: 9
Text

MISSING 

Distinct7
Distinct (%)63.6%
Missing272
Missing (%)96.1%
Memory size2.3 KiB
2023-12-12T08:56:28.421567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0909091
Min length1

Characters and Unicode

Total characters34
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)54.5%

Sample

1st row순 위
2nd row1순위
3rd row1순위
4th row1순위
5th row1순위
ValueCountFrequency (%)
1순위 5
38.5%
순 1
 
7.7%
위 1
 
7.7%
2순위 1
 
7.7%
비고 1
 
7.7%
1
 
7.7%
기간 1
 
7.7%
사용기간 1
 
7.7%
6개월 1
 
7.7%
2023-12-12T08:56:28.736943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
순 7
20.6%
위 7
20.6%
1 5
14.7%
기 2
 
5.9%
간 2
 
5.9%
1
 
2.9%
2 1
 
2.9%
비 1
 
2.9%
고 1
 
2.9%
- 1
 
2.9%
Other values (6) 6
17.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24
70.6%
Decimal Number 7
 
20.6%
Space Separator 1
 
2.9%
Dash Punctuation 1
 
2.9%
Control 1
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
순 7
29.2%
위 7
29.2%
기 2
 
8.3%
간 2
 
8.3%
비 1
 
4.2%
고 1
 
4.2%
사 1
 
4.2%
용 1
 
4.2%
개 1
 
4.2%
월 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 5
71.4%
2 1
 
14.3%
6 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24
70.6%
Common 10
29.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
순 7
29.2%
위 7
29.2%
기 2
 
8.3%
간 2
 
8.3%
비 1
 
4.2%
고 1
 
4.2%
사 1
 
4.2%
용 1
 
4.2%
개 1
 
4.2%
월 1
 
4.2%
Common
ValueCountFrequency (%)
1 5
50.0%
1
 
10.0%
2 1
 
10.0%
- 1
 
10.0%
1
 
10.0%
6 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24
70.6%
ASCII 10
29.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
순 7
29.2%
위 7
29.2%
기 2
 
8.3%
간 2
 
8.3%
비 1
 
4.2%
고 1
 
4.2%
사 1
 
4.2%
용 1
 
4.2%
개 1
 
4.2%
월 1
 
4.2%
ASCII
ValueCountFrequency (%)
1 5
50.0%
1
 
10.0%
2 1
 
10.0%
- 1
 
10.0%
1
 
10.0%
6 1
 
10.0%

Correlations

2023-12-12T08:56:28.849372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 4Unnamed: 6Unnamed: 9
Unnamed: 11.0001.0001.0001.000
Unnamed: 41.0001.000NaN1.000
Unnamed: 61.000NaN1.0001.000
Unnamed: 91.0001.0001.0001.000

Missing values

2023-12-12T08:56:25.871594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:56:25.994575image/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.
2023-12-12T08:56:26.135118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Unnamed: 0Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9
0<NA><NA><NA>NaN<NA>NaN<NA>NaNNaN<NA>
1<NA><NA><NA>NaN<NA>NaN<NA>NaNNaN<NA>
2<NA><NA><NA>NaN<NA>NaN<NA>NaNNaN<NA>
3<NA>신청방법<NA>NaN<NA>NaN<NA>NaNNaN<NA>
4<NA>신청방법<NA>NaN<NA>NaN<NA>NaNNaN<NA>
5<NA><NA>■ 거주자우선 주차 홈페이지 신청NaN<NA>NaN<NA>NaNNaN<NA>
6<NA><NA>- 관악구시설관리공단 홈페이지에서 로그인 후 거주자 우선주차 사용자 홈페이지로 이동합니다.NaN<NA>NaN<NA>NaNNaN<NA>
7<NA><NA>- 상단에 [주차구획신청] 메뉴를 클릭합니다.NaN<NA>NaN<NA>NaNNaN<NA>
8<NA><NA>- 구간검색을 클릭하여 거주지 인근 구획번호를 지도로 확인 후 희망하는 주차구간을 선택 -> 주차구획 사용신청을 클릭합니다 (2구간 신청가능)NaN<NA>NaN<NA>NaNNaN<NA>
9<NA><NA>※구비서류 제출방법 : 팩스(02-2081-2699) 송부 후 해당동 담당자에게 수신확인 (02-2081-2680~3)NaN<NA>NaN<NA>NaNNaN<NA>
Unnamed: 0Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9
273<NA><NA><NA>NaN<NA>※ 저공해차 통합정보 누리집 https://www.ev.or.kr.에서 확인<NA>NaNNaN<NA>
274<NA>경차<NA>0.5<NA>- 1,000cc 미만 차량<NA>NaNNaN<NA>
275<NA>우수자원봉사자<NA>0.3<NA>- 관악구조례에 의거 관악구청장이 발급한 자원봉사증 소지자<NA>NaNNaN<NA>
276<NA><NA><NA>NaN<NA>(유효기간에 한해 할인, 기간만료 시 정상요금 적용)<NA>NaNNaN<NA>
277<NA>병역명문가<NA>0.3<NA>- 병역명문가증소지자로 관내 거주자<NA>NaNNaN<NA>
278<NA>모범납세자<NA>1년 100%<NA>- 서울특별시장 또는 국세청장이 교부한 성실납세증 표지(스티커)를<NA>NaNNaN<NA>
279<NA><NA><NA>NaN<NA>부착한 차량(표지발행일로부터 1년)<NA>NaNNaN<NA>
280<NA><NA><NA>NaN<NA>NaN<NA>NaNNaN<NA>
281<NA>※ 관련근거 : 서울특별시 관악구 주차장 설치 및 관리조례(제6조)<NA>NaN<NA>NaN<NA>NaNNaN<NA>
282<NA>※ 2개 이상의 감면사유에 해당되는 경우 감면율이 높은 하나만 적용<NA>NaN<NA>NaN<NA>NaNNaN<NA>

Duplicate rows

Most frequently occurring

Unnamed: 1Unnamed: 2Unnamed: 4Unnamed: 6Unnamed: 9# duplicates
7<NA><NA><NA><NA><NA>61
1<NA>-<NA><NA><NA>9
0<NA>- 별표 1의 점수표에 의한 고득점 순으로 배정<NA><NA><NA>2
2<NA>→ 동전입일 → 근거리 → 신청일 순으로 배정(2022년 배정시부터)<NA><NA><NA>2
3<NA><NA><NA><NA>2
4<NA>○ 주차공유사업 참여자 인센티브 수혜로 인한 배정자가 제도 미이행 및 부정사용으로 적발 시 즉시 배정취소<NA><NA><NA>2
5<NA><NA>야간<NA><NA>2
6<NA><NA>주간<NA><NA>2