Overview

Dataset statistics

Number of variables11
Number of observations267
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.1 KiB
Average record size in memory88.5 B

Variable types

Text2
Categorical9

Dataset

Description2019년설연휴무료개방주차장
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201924

Alerts

자료출처 has constant value ""Constant
관리기관 is highly overall correlated with 전화번호 and 6 other fieldsHigh correlation
전화번호 is highly overall correlated with 관리기관 and 6 other fieldsHigh correlation
개방시간_3일 is highly overall correlated with 관리기관 and 6 other fieldsHigh correlation
개방시간_5일 is highly overall correlated with 관리기관 and 6 other fieldsHigh correlation
개방시간_6일 is highly overall correlated with 관리기관 and 6 other fieldsHigh correlation
개방시간_2일 is highly overall correlated with 관리기관 and 6 other fieldsHigh correlation
개방시간_4일 is highly overall correlated with 관리기관 and 6 other fieldsHigh correlation
특이사항 is highly overall correlated with 관리기관 and 6 other fieldsHigh correlation
특이사항 is highly imbalanced (67.9%)Imbalance

Reproduction

Analysis started2024-03-14 01:51:48.346021
Analysis finished2024-03-14 01:51:49.130288
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장명
Text

Distinct266
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-14T10:51:49.272766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.1348315
Min length3

Characters and Unicode

Total characters2439
Distinct characters287
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique265 ?
Unique (%)99.3%

Sample

1st row고창읍사무소 앞
2nd row고창 새마을공앞 앞
3rd row고창읍 월곡주차장
4th row고창읍 월곡뉴타운
5th row고창 공설운동장
ValueCountFrequency (%)
주차장 62
 
12.5%
앞 18
 
3.6%
옆 12
 
2.4%
공영주차장 10
 
2.0%
고창읍 10
 
2.0%
고창 8
 
1.6%
나운동 7
 
1.4%
뒤 6
 
1.2%
소룡동 5
 
1.0%
수송동 5
 
1.0%
Other values (308) 354
71.2%
2024-03-14T10:51:49.849931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
233
 
9.6%
장 213
 
8.7%
주 173
 
7.1%
차 163
 
6.7%
동 86
 
3.5%
공 67
 
2.7%
앞 46
 
1.9%
영 42
 
1.7%
시 41
 
1.7%
산 34
 
1.4%
Other values (277) 1341
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2128
87.2%
Space Separator 233
 
9.6%
Decimal Number 27
 
1.1%
Close Punctuation 21
 
0.9%
Open Punctuation 19
 
0.8%
Other Punctuation 6
 
0.2%
Uppercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 213
 
10.0%
주 173
 
8.1%
차 163
 
7.7%
동 86
 
4.0%
공 67
 
3.1%
앞 46
 
2.2%
영 42
 
2.0%
시 41
 
1.9%
산 34
 
1.6%
원 34
 
1.6%
Other values (260) 1229
57.8%
Other Punctuation
ValueCountFrequency (%)
@ 2
33.3%
. 1
16.7%
＠ 1
16.7%
· 1
16.7%
, 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
C 1
20.0%
B 1
20.0%
M 1
20.0%
K 1
20.0%
T 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 13
48.1%
1 10
37.0%
3 3
 
11.1%
4 1
 
3.7%
Space Separator
ValueCountFrequency (%)
233
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2128
87.2%
Common 306
 
12.5%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 213
 
10.0%
주 173
 
8.1%
차 163
 
7.7%
동 86
 
4.0%
공 67
 
3.1%
앞 46
 
2.2%
영 42
 
2.0%
시 41
 
1.9%
산 34
 
1.6%
원 34
 
1.6%
Other values (260) 1229
57.8%
Common
ValueCountFrequency (%)
233
76.1%
) 21
 
6.9%
( 19
 
6.2%
2 13
 
4.2%
1 10
 
3.3%
3 3
 
1.0%
@ 2
 
0.7%
4 1
 
0.3%
. 1
 
0.3%
＠ 1
 
0.3%
Other values (2) 2
 
0.7%
Latin
ValueCountFrequency (%)
C 1
20.0%
B 1
20.0%
M 1
20.0%
K 1
20.0%
T 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2128
87.2%
ASCII 309
 
12.7%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
233
75.4%
) 21
 
6.8%
( 19
 
6.1%
2 13
 
4.2%
1 10
 
3.2%
3 3
 
1.0%
@ 2
 
0.6%
4 1
 
0.3%
C 1
 
0.3%
B 1
 
0.3%
Other values (5) 5
 
1.6%
Hangul
ValueCountFrequency (%)
장 213
 
10.0%
주 173
 
8.1%
차 163
 
7.7%
동 86
 
4.0%
공 67
 
3.1%
앞 46
 
2.2%
영 42
 
2.0%
시 41
 
1.9%
산 34
 
1.6%
원 34
 
1.6%
Other values (260) 1229
57.8%
None
ValueCountFrequency (%)
＠ 1
50.0%
· 1
50.0%

주소
Text

Distinct265
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-14T10:51:50.159835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length20.629213
Min length16

Characters and Unicode

Total characters5508
Distinct characters162
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

Unique263 ?
Unique (%)98.5%

Sample

1st row전라북도 고창군 고창읍 교촌리 281-15
2nd row전라북도 고창군 고창읍 석교리 6-4
3rd row전라북도 고창군 고창읍 월곡리 760
4th row전라북도 고창군 고창읍 월곡리 873
5th row전라북도 고창군 고창읍 월암리 316
ValueCountFrequency (%)
전라북도 267
 
21.0%
군산시 54
 
4.2%
익산시 29
 
2.3%
장수군 29
 
2.3%
남원시 24
 
1.9%
읍내리 24
 
1.9%
고창군 21
 
1.6%
김제시 19
 
1.5%
무주읍 18
 
1.4%
순창군 18
 
1.4%
Other values (456) 770
60.5%
2024-03-14T10:51:50.632374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1009
 
18.3%
전 278
 
5.0%
도 276
 
5.0%
북 270
 
4.9%
라 268
 
4.9%
1 204
 
3.7%
군 187
 
3.4%
- 186
 
3.4%
2 150
 
2.7%
리 144
 
2.6%
Other values (152) 2536
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3264
59.3%
Decimal Number 1048
 
19.0%
Space Separator 1009
 
18.3%
Dash Punctuation 186
 
3.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 278
 
8.5%
도 276
 
8.5%
북 270
 
8.3%
라 268
 
8.2%
군 187
 
5.7%
리 144
 
4.4%
시 139
 
4.3%
읍 121
 
3.7%
산 119
 
3.6%
동 115
 
3.5%
Other values (139) 1347
41.3%
Decimal Number
ValueCountFrequency (%)
1 204
19.5%
2 150
14.3%
3 117
11.2%
5 114
10.9%
8 93
8.9%
6 87
8.3%
4 85
8.1%
7 76
 
7.3%
9 63
 
6.0%
0 59
 
5.6%
Space Separator
ValueCountFrequency (%)
1009
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 186
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3264
59.3%
Common 2244
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 278
 
8.5%
도 276
 
8.5%
북 270
 
8.3%
라 268
 
8.2%
군 187
 
5.7%
리 144
 
4.4%
시 139
 
4.3%
읍 121
 
3.7%
산 119
 
3.6%
동 115
 
3.5%
Other values (139) 1347
41.3%
Common
ValueCountFrequency (%)
1009
45.0%
1 204
 
9.1%
- 186
 
8.3%
2 150
 
6.7%
3 117
 
5.2%
5 114
 
5.1%
8 93
 
4.1%
6 87
 
3.9%
4 85
 
3.8%
7 76
 
3.4%
Other values (3) 123
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3264
59.3%
ASCII 2244
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1009
45.0%
1 204
 
9.1%
- 186
 
8.3%
2 150
 
6.7%
3 117
 
5.2%
5 114
 
5.1%
8 93
 
4.1%
6 87
 
3.9%
4 85
 
3.8%
7 76
 
3.4%
Other values (3) 123
 
5.5%
Hangul
ValueCountFrequency (%)
전 278
 
8.5%
도 276
 
8.5%
북 270
 
8.3%
라 268
 
8.2%
군 187
 
5.7%
리 144
 
4.4%
시 139
 
4.3%
읍 121
 
3.7%
산 119
 
3.6%
동 115
 
3.5%
Other values (139) 1347
41.3%

관리기관
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
군산시청 교통행정과
54 
익산시청 교통행정과
29 
장수군청 건설교통과
29 
남원시청 교통과
24 
고창군청 상생경제과
21 
Other values (9)
110 

Length

Max length10
Median length10
Mean length9.5992509
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고창군청 상생경제과
2nd row고창군청 상생경제과
3rd row고창군청 상생경제과
4th row고창군청 상생경제과
5th row고창군청 상생경제과

Common Values

ValueCountFrequency (%)
군산시청 교통행정과 54
20.2%
익산시청 교통행정과 29
10.9%
장수군청 건설교통과 29
10.9%
남원시청 교통과 24
9.0%
고창군청 상생경제과 21
 
7.9%
김제시청 경제교통과 19
 
7.1%
무주군 산업경제과 18
 
6.7%
순창군청 경제교통과 18
 
6.7%
부안군 건설교통과 17
 
6.4%
완주군청 건설교통과 15
 
5.6%
Other values (4) 23
8.6%

Length

2024-03-14T10:51:50.749697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
교통행정과 83
15.8%
건설교통과 68
13.0%
군산시청 54
10.3%
경제교통과 41
 
7.8%
장수군청 29
 
5.5%
익산시청 29
 
5.5%
교통과 27
 
5.1%
남원시청 24
 
4.6%
고창군청 21
 
4.0%
상생경제과 21
 
4.0%
Other values (10) 128
24.4%

전화번호
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
063-454-3812
54 
063-350-2364
29 
063-620-6985
24 
063-560-2572
21 
063-540-3874
19 
Other values (41)
120 

Length

Max length13
Median length12
Mean length12.003745
Min length12

Unique

Unique30 ?
Unique (%)11.2%

Sample

1st row063-560-2572
2nd row063-560-2572
3rd row063-560-2572
4th row063-560-2572
5th row063-560-2572

Common Values

ValueCountFrequency (%)
063-454-3812 54
20.2%
063-350-2364 29
10.9%
063-620-6985 24
9.0%
063-560-2572 21
 
7.9%
063-540-3874 19
 
7.1%
063-650-1328 18
 
6.7%
063-320-2365 18
 
6.7%
063-290-2802 15
 
5.6%
063-239-2613 9
 
3.4%
063-859-5899 8
 
3.0%
Other values (36) 52
19.5%

Length

2024-03-14T10:51:50.848305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
063-454-3812 54
20.2%
063-350-2364 29
10.9%
063-620-6985 24
9.0%
063-560-2572 21
 
7.9%
063-540-3874 19
 
7.1%
063-650-1328 18
 
6.7%
063-320-2365 18
 
6.7%
063-290-2802 15
 
5.6%
063-239-2613 9
 
3.4%
063-859-5899 8
 
3.0%
Other values (36) 52
19.5%

개방시간_2일
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0:00-24:00
194 
9:00-0:00
24 
9:00-24:00
 
19
12:00-24:00
 
18
<NA>
 
7
Other values (2)
 
5

Length

Max length11
Median length10
Mean length9.8202247
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0:00-24:00
2nd row0:00-24:00
3rd row0:00-24:00
4th row0:00-24:00
5th row0:00-24:00

Common Values

ValueCountFrequency (%)
0:00-24:00 194
72.7%
9:00-0:00 24
 
9.0%
9:00-24:00 19
 
7.1%
12:00-24:00 18
 
6.7%
<NA> 7
 
2.6%
19:00-0:00 4
 
1.5%
0.375-0:00 1
 
0.4%

Length

2024-03-14T10:51:50.946295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:51:51.036722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00-24:00 194
72.7%
9:00-0:00 24
 
9.0%
9:00-24:00 19
 
7.1%
12:00-24:00 18
 
6.7%
na 7
 
2.6%
19:00-0:00 4
 
1.5%
0.375-0:00 1
 
0.4%

개방시간_3일
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0:00-24:00
183 
9:00-0:00
23 
9:00-24:00
19 
12:00-24:00
 
18
0-24:00
 
11
Other values (3)
 
13

Length

Max length11
Median length10
Mean length9.7003745
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0:00-24:00
2nd row0:00-24:00
3rd row0:00-24:00
4th row0:00-24:00
5th row0:00-24:00

Common Values

ValueCountFrequency (%)
0:00-24:00 183
68.5%
9:00-0:00 23
 
8.6%
9:00-24:00 19
 
7.1%
12:00-24:00 18
 
6.7%
0-24:00 11
 
4.1%
<NA> 7
 
2.6%
19:00-0:00 5
 
1.9%
0.375-0:00 1
 
0.4%

Length

2024-03-14T10:51:51.143087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:51:51.244567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00-24:00 183
68.5%
9:00-0:00 23
 
8.6%
9:00-24:00 19
 
7.1%
12:00-24:00 18
 
6.7%
0-24:00 11
 
4.1%
na 7
 
2.6%
19:00-0:00 5
 
1.9%
0.375-0:00 1
 
0.4%

개방시간_4일
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0:00-24:00
194 
9:00-0:00
24 
9:00-24:00
 
19
12:00-24:00
 
18
<NA>
 
7
Other values (2)
 
5

Length

Max length11
Median length10
Mean length9.8202247
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0:00-24:00
2nd row0:00-24:00
3rd row0:00-24:00
4th row0:00-24:00
5th row0:00-24:00

Common Values

ValueCountFrequency (%)
0:00-24:00 194
72.7%
9:00-0:00 24
 
9.0%
9:00-24:00 19
 
7.1%
12:00-24:00 18
 
6.7%
<NA> 7
 
2.6%
19:00-0:00 4
 
1.5%
0.375-0:00 1
 
0.4%

Length

2024-03-14T10:51:51.353060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:51:51.441244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00-24:00 194
72.7%
9:00-0:00 24
 
9.0%
9:00-24:00 19
 
7.1%
12:00-24:00 18
 
6.7%
na 7
 
2.6%
19:00-0:00 4
 
1.5%
0.375-0:00 1
 
0.4%

개방시간_5일
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0:00-24:00
194 
9:00-0:00
24 
9:00-24:00
 
19
12:00-24:00
 
18
<NA>
 
7
Other values (2)
 
5

Length

Max length11
Median length10
Mean length9.8202247
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0:00-24:00
2nd row0:00-24:00
3rd row0:00-24:00
4th row0:00-24:00
5th row0:00-24:00

Common Values

ValueCountFrequency (%)
0:00-24:00 194
72.7%
9:00-0:00 24
 
9.0%
9:00-24:00 19
 
7.1%
12:00-24:00 18
 
6.7%
<NA> 7
 
2.6%
19:00-0:00 4
 
1.5%
0.375-0:00 1
 
0.4%

Length

2024-03-14T10:51:51.540703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:51:51.631446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00-24:00 194
72.7%
9:00-0:00 24
 
9.0%
9:00-24:00 19
 
7.1%
12:00-24:00 18
 
6.7%
na 7
 
2.6%
19:00-0:00 4
 
1.5%
0.375-0:00 1
 
0.4%

개방시간_6일
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0:00-24:00
194 
9:00-0:00
24 
9:00-24:00
 
19
12:00-24:00
 
18
<NA>
 
7
Other values (2)
 
5

Length

Max length11
Median length10
Mean length9.8202247
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0:00-24:00
2nd row0:00-24:00
3rd row0:00-24:00
4th row0:00-24:00
5th row0:00-24:00

Common Values

ValueCountFrequency (%)
0:00-24:00 194
72.7%
9:00-0:00 24
 
9.0%
9:00-24:00 19
 
7.1%
12:00-24:00 18
 
6.7%
<NA> 7
 
2.6%
19:00-0:00 4
 
1.5%
0.375-0:00 1
 
0.4%

Length

2024-03-14T10:51:51.746286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:51:51.849891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00-24:00 194
72.7%
9:00-0:00 24
 
9.0%
9:00-24:00 19
 
7.1%
12:00-24:00 18
 
6.7%
na 7
 
2.6%
19:00-0:00 4
 
1.5%
0.375-0:00 1
 
0.4%

특이사항
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
243 
연휴기간내무료개방
 
18
설 당일만 개방
 
6

Length

Max length9
Median length4
Mean length4.4269663
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> 243
91.0%
연휴기간내무료개방 18
 
6.7%
설 당일만 개방 6
 
2.2%

Length

2024-03-14T10:51:51.967672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:51:52.061656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 243
87.1%
연휴기간내무료개방 18
 
6.5%
설 6
 
2.2%
당일만 6
 
2.2%
개방 6
 
2.2%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
정보화총괄과
267 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정보화총괄과 267
100.0%

Length

2024-03-14T10:51:52.150924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:51:52.256471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정보화총괄과 267
100.0%

Correlations

2024-03-14T10:51:52.322170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관전화번호개방시간_2일개방시간_3일개방시간_4일개방시간_5일개방시간_6일특이사항
관리기관1.0001.0000.9150.9830.9150.9150.9150.983
전화번호1.0001.0000.9810.9850.9810.9810.9810.983
개방시간_2일0.9150.9811.0000.9811.0001.0001.000NaN
개방시간_3일0.9830.9850.9811.0000.9810.9810.981NaN
개방시간_4일0.9150.9811.0000.9811.0001.0001.000NaN
개방시간_5일0.9150.9811.0000.9811.0001.0001.000NaN
개방시간_6일0.9150.9811.0000.9811.0001.0001.000NaN
특이사항0.9830.983NaNNaNNaNNaNNaN1.000
2024-03-14T10:51:52.447947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관전화번호개방시간_3일개방시간_5일개방시간_6일개방시간_2일개방시간_4일특이사항
관리기관1.0000.9350.7890.7490.7490.7490.7490.884
전화번호0.9351.0000.8260.8100.8100.8100.8100.884
개방시간_3일0.7890.8261.0000.9740.9740.9740.9741.000
개방시간_5일0.7490.8100.9741.0001.0001.0001.0001.000
개방시간_6일0.7490.8100.9741.0001.0001.0001.0001.000
개방시간_2일0.7490.8100.9741.0001.0001.0001.0001.000
개방시간_4일0.7490.8100.9741.0001.0001.0001.0001.000
특이사항0.8840.8841.0001.0001.0001.0001.0001.000
2024-03-14T10:51:52.562351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관전화번호개방시간_2일개방시간_3일개방시간_4일개방시간_5일개방시간_6일특이사항
관리기관1.0000.9350.7490.7890.7490.7490.7490.884
전화번호0.9351.0000.8100.8260.8100.8100.8100.884
개방시간_2일0.7490.8101.0000.9741.0001.0001.0001.000
개방시간_3일0.7890.8260.9741.0000.9740.9740.9741.000
개방시간_4일0.7490.8101.0000.9741.0001.0001.0001.000
개방시간_5일0.7490.8101.0000.9741.0001.0001.0001.000
개방시간_6일0.7490.8101.0000.9741.0001.0001.0001.000
특이사항0.8840.8841.0001.0001.0001.0001.0001.000

Missing values

2024-03-14T10:51:48.969620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:51:49.085090image/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

주차장명주소관리기관전화번호개방시간_2일개방시간_3일개방시간_4일개방시간_5일개방시간_6일특이사항자료출처
0고창읍사무소 앞전라북도 고창군 고창읍 교촌리 281-15고창군청 상생경제과063-560-25720:00-24:000:00-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
1고창 새마을공앞 앞전라북도 고창군 고창읍 석교리 6-4고창군청 상생경제과063-560-25720:00-24:000:00-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
2고창읍 월곡주차장전라북도 고창군 고창읍 월곡리 760고창군청 상생경제과063-560-25720:00-24:000:00-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
3고창읍 월곡뉴타운전라북도 고창군 고창읍 월곡리 873고창군청 상생경제과063-560-25720:00-24:000:00-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
4고창 공설운동장전라북도 고창군 고창읍 월암리 316고창군청 상생경제과063-560-25720:00-24:000:00-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
5고창읍 덕산택지전라북도 고창군 고창읍 읍내리 1176고창군청 상생경제과063-560-25720:00-24:000:00-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
6고창읍성전라북도 고창군 고창읍 읍내리 182-6고창군청 상생경제과063-560-25720:00-24:000:00-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
7고창읍 군산아구찜앞전라북도 고창군 고창읍 읍내리 197-4고창군청 상생경제과063-560-25720:00-24:000:00-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
8고창읍 서흥동전라북도 고창군 고창읍 읍내리 323-2고창군청 상생경제과063-560-25720:00-24:000:00-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
9고창읍 중앙가구전라북도 고창군 고창읍 읍내리 324-57고창군청 상생경제과063-560-25720:00-24:000:00-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
주차장명주소관리기관전화번호개방시간_2일개방시간_3일개방시간_4일개방시간_5일개방시간_6일특이사항자료출처
257전북 정읍시청(연지공영)전라북도 정읍시 연지동 258-1정읍시청 교통과063-539-59250:00-24:000-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
258진안시장주차장전라북도 진안군 진안읍 군상리 406-8진안군청 건설교통과063-430-29510:00-24:000-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
259진안중앙주차장 1전라북도 진안군 진안읍 군상리 888진안군청 건설교통과063-430-23560:00-24:000-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
260진안중앙주차장 2전라북도 진안군 진안읍 군상리 938-26진안군청 건설교통과063-430-23570:00-24:000-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
261진안읍사무소 주차장전라북도 진안군 진안읍 군하리 275-2진안군청 건설교통과063-430-23560:00-24:000-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
262군민자치센터 주차장전라북도 진안군 진안읍 중앙로 66진안군청 건설교통과063-430-27630:00-24:000-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
263진안군청 주차장전라북도 진안군 진안읍 중앙로 67진안군청 건설교통과063-430-23560:00-24:000-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
264진안군한방약초센터 주차장전라북도 진안군 진안읍 진무로 1166진안군청 건설교통과063-430-23870:00-24:000-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
265운봉읍 주차장 1지구전라북도 남원시 운봉읍 서천리 177 외 6필지남원시청 교통과063-620-69850:00-24:000:00-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과
266운봉읍 주차장 2지구전라북도 남원시 운봉읍 서천리 221-14 외 1필지남원시청 교통과063-620-69850:00-24:000:00-24:000:00-24:000:00-24:000:00-24:00<NA>정보화총괄과