Overview

Dataset statistics

Number of variables11
Number of observations228
Missing cells696
Missing cells (%)27.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.4 KiB
Average record size in memory91.6 B

Variable types

Text6
Categorical1
Unsupported3
DateTime1

Dataset

Description제주시 부서위치현황 데이터로 데이터코드, 실국명, 부서명, 부서상세명, 부서위치명, 도로명주소, 위도좌표, 경도좌표, 부서전화번호, 기타내용, 등록일시 파일데이터 제공
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15110539/fileData.do

Alerts

등록 일시 has constant value ""Constant
부서 위치 명 has 5 (2.2%) missing valuesMissing
도로명 주소 has 5 (2.2%) missing valuesMissing
위도 좌표 has 228 (100.0%) missing valuesMissing
경도 좌표 has 228 (100.0%) missing valuesMissing
기타 내용 has 228 (100.0%) missing valuesMissing
데이터 코드 has unique valuesUnique
위도 좌표 is an unsupported type, check if it needs cleaning or further analysisUnsupported
경도 좌표 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기타 내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 00:48:03.258214
Analysis finished2023-12-12 00:48:04.061744
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

데이터 코드
Text

UNIQUE 

Distinct228
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T09:48:04.299648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters1368
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique228 ?
Unique (%)100.0%

Sample

1st rowBU0001
2nd rowBU0002
3rd rowBU0003
4th rowBU0004
5th rowBU0005
ValueCountFrequency (%)
bu0001 1
 
0.4%
bu0143 1
 
0.4%
bu0157 1
 
0.4%
bu0146 1
 
0.4%
bu0147 1
 
0.4%
bu0148 1
 
0.4%
bu0149 1
 
0.4%
bu0150 1
 
0.4%
bu0151 1
 
0.4%
bu0152 1
 
0.4%
Other values (218) 218
95.6%
2023-12-12T09:48:04.722100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 378
27.6%
B 228
16.7%
U 228
16.7%
1 153
11.2%
2 81
 
5.9%
4 43
 
3.1%
3 43
 
3.1%
5 43
 
3.1%
6 43
 
3.1%
7 43
 
3.1%
Other values (2) 85
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 912
66.7%
Uppercase Letter 456
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 378
41.4%
1 153
16.8%
2 81
 
8.9%
4 43
 
4.7%
3 43
 
4.7%
5 43
 
4.7%
6 43
 
4.7%
7 43
 
4.7%
8 43
 
4.7%
9 42
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 228
50.0%
U 228
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 912
66.7%
Latin 456
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 378
41.4%
1 153
16.8%
2 81
 
8.9%
4 43
 
4.7%
3 43
 
4.7%
5 43
 
4.7%
6 43
 
4.7%
7 43
 
4.7%
8 43
 
4.7%
9 42
 
4.6%
Latin
ValueCountFrequency (%)
B 228
50.0%
U 228
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 378
27.6%
B 228
16.7%
U 228
16.7%
1 153
11.2%
2 81
 
5.9%
4 43
 
3.1%
3 43
 
3.1%
5 43
 
3.1%
6 43
 
3.1%
7 43
 
3.1%
Other values (2) 85
 
6.2%

실국 명
Categorical

Distinct12
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
도시건설국
30 
자치행정국
28 
복지위생국
27 
농수축산경제국
25 
문화관광체육국
21 
Other values (7)
97 

Length

Max length7
Median length5
Mean length5.3859649
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공보실
2nd row공보실
3rd row종합민원실
4th row종합민원실
5th row종합민원실

Common Values

ValueCountFrequency (%)
도시건설국 30
13.2%
자치행정국 28
12.3%
복지위생국 27
11.8%
농수축산경제국 25
11.0%
문화관광체육국 21
9.2%
서부보건소 21
9.2%
안전교통국 21
9.2%
청정환경국 19
8.3%
동부보건소 16
7.0%
제주보건소 11
 
4.8%
Other values (2) 9
 
3.9%

Length

2023-12-12T09:48:04.881938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도시건설국 30
13.2%
자치행정국 28
12.3%
복지위생국 27
11.8%
농수축산경제국 25
11.0%
문화관광체육국 21
9.2%
서부보건소 21
9.2%
안전교통국 21
9.2%
청정환경국 19
8.3%
동부보건소 16
7.0%
제주보건소 11
 
4.8%
Other values (2) 9
 
3.9%

부서 명
Text

Distinct73
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T09:48:05.112780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.0131579
Min length3

Characters and Unicode

Total characters1143
Distinct characters123
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)15.4%

Sample

1st row공보실
2nd row공보실
3rd row종합민원실
4th row종합민원실
5th row종합민원실
ValueCountFrequency (%)
제주보건소 8
 
3.5%
종합민원실 7
 
3.1%
안전총괄과 7
 
3.1%
경제일자리 7
 
3.1%
주민복지과 7
 
3.1%
건설과 6
 
2.6%
해양수산과 6
 
2.6%
축산과 6
 
2.6%
총무과 6
 
2.6%
도시계획과 6
 
2.6%
Other values (64) 163
71.2%
2023-12-12T09:48:05.478759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 155
 
13.6%
건 59
 
5.2%
보 57
 
5.0%
소 48
 
4.2%
진 30
 
2.6%
지 29
 
2.5%
도 27
 
2.4%
관 25
 
2.2%
산 23
 
2.0%
리 22
 
1.9%
Other values (113) 668
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1140
99.7%
Decimal Number 2
 
0.2%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 155
 
13.6%
건 59
 
5.2%
보 57
 
5.0%
소 48
 
4.2%
진 30
 
2.6%
지 29
 
2.5%
도 27
 
2.4%
관 25
 
2.2%
산 23
 
2.0%
리 22
 
1.9%
Other values (110) 665
58.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1140
99.7%
Common 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 155
 
13.6%
건 59
 
5.2%
보 57
 
5.0%
소 48
 
4.2%
진 30
 
2.6%
지 29
 
2.5%
도 27
 
2.4%
관 25
 
2.2%
산 23
 
2.0%
리 22
 
1.9%
Other values (110) 665
58.3%
Common
ValueCountFrequency (%)
1
33.3%
1 1
33.3%
2 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1140
99.7%
ASCII 3
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 155
 
13.6%
건 59
 
5.2%
보 57
 
5.0%
소 48
 
4.2%
진 30
 
2.6%
지 29
 
2.5%
도 27
 
2.4%
관 25
 
2.2%
산 23
 
2.0%
리 22
 
1.9%
Other values (110) 665
58.3%
ASCII
ValueCountFrequency (%)
1
33.3%
1 1
33.3%
2 1
33.3%

부서 상세 명
Text

Distinct217
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T09:48:05.795054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length4.7017544
Min length2

Characters and Unicode

Total characters1072
Distinct characters225
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)92.1%

Sample

1st row공보실
2nd row공보
3rd row민원
4th row가족관계등록
5th row지적
ValueCountFrequency (%)
방문간호 3
 
1.3%
보건행정 3
 
1.3%
건강증진 3
 
1.3%
의약관리 3
 
1.3%
지방공업서기보 2
 
0.9%
감염병관리 2
 
0.9%
치매안심센터 2
 
0.9%
하수 1
 
0.4%
별빛누리공원 1
 
0.4%
추자보건지소 1
 
0.4%
Other values (209) 209
90.9%
2023-12-12T09:48:06.233459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 52
 
4.9%
보 49
 
4.6%
건 42
 
3.9%
관 42
 
3.9%
리 36
 
3.4%
원 26
 
2.4%
도 25
 
2.3%
진 25
 
2.3%
료 23
 
2.1%
시 21
 
2.0%
Other values (215) 731
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1051
98.0%
Uppercase Letter 12
 
1.1%
Decimal Number 4
 
0.4%
Other Punctuation 3
 
0.3%
Space Separator 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 52
 
4.9%
보 49
 
4.7%
건 42
 
4.0%
관 42
 
4.0%
리 36
 
3.4%
원 26
 
2.5%
도 25
 
2.4%
진 25
 
2.4%
료 23
 
2.2%
시 21
 
2.0%
Other values (206) 710
67.6%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
1 1
25.0%
3 1
25.0%
4 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
T 6
50.0%
F 6
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
66.7%
· 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1051
98.0%
Latin 12
 
1.1%
Common 9
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 52
 
4.9%
보 49
 
4.7%
건 42
 
4.0%
관 42
 
4.0%
리 36
 
3.4%
원 26
 
2.5%
도 25
 
2.4%
진 25
 
2.4%
료 23
 
2.2%
시 21
 
2.0%
Other values (206) 710
67.6%
Common
ValueCountFrequency (%)
2
22.2%
/ 2
22.2%
2 1
11.1%
1 1
11.1%
3 1
11.1%
· 1
11.1%
4 1
11.1%
Latin
ValueCountFrequency (%)
T 6
50.0%
F 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1051
98.0%
ASCII 20
 
1.9%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 52
 
4.9%
보 49
 
4.7%
건 42
 
4.0%
관 42
 
4.0%
리 36
 
3.4%
원 26
 
2.5%
도 25
 
2.4%
진 25
 
2.4%
료 23
 
2.2%
시 21
 
2.0%
Other values (206) 710
67.6%
ASCII
ValueCountFrequency (%)
T 6
30.0%
F 6
30.0%
2
 
10.0%
/ 2
 
10.0%
2 1
 
5.0%
1 1
 
5.0%
3 1
 
5.0%
4 1
 
5.0%
None
ValueCountFrequency (%)
· 1
100.0%

부서 위치 명
Text

MISSING 

Distinct66
Distinct (%)29.6%
Missing5
Missing (%)2.2%
Memory size1.9 KiB
2023-12-12T09:48:06.536878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.0358744
Min length5

Characters and Unicode

Total characters1346
Distinct characters106
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)19.7%

Sample

1st row본관 2층
2nd row본관 2층
3rd row5별관 1층
4th row5별관 1층
5th row5별관 1층
ValueCountFrequency (%)
1층 55
13.7%
본관 48
11.9%
3층 44
10.9%
2층 40
 
10.0%
2별관 36
 
9.0%
1별관 25
 
6.2%
4별관 17
 
4.2%
6별관 12
 
3.0%
제주보건소 8
 
2.0%
5별관 8
 
2.0%
Other values (56) 109
27.1%
2023-12-12T09:48:06.966810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
179
13.3%
층 158
 
11.7%
관 158
 
11.7%
별 104
 
7.7%
1 82
 
6.1%
2 77
 
5.7%
본 48
 
3.6%
3 48
 
3.6%
건 48
 
3.6%
보 46
 
3.4%
Other values (96) 398
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 899
66.8%
Decimal Number 268
 
19.9%
Space Separator 179
 
13.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 158
17.6%
관 158
17.6%
별 104
11.6%
본 48
 
5.3%
건 48
 
5.3%
보 46
 
5.1%
소 46
 
5.1%
료 20
 
2.2%
진 20
 
2.2%
도 15
 
1.7%
Other values (89) 236
26.3%
Decimal Number
ValueCountFrequency (%)
1 82
30.6%
2 77
28.7%
3 48
17.9%
4 28
 
10.4%
5 17
 
6.3%
6 16
 
6.0%
Space Separator
ValueCountFrequency (%)
179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 899
66.8%
Common 447
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 158
17.6%
관 158
17.6%
별 104
11.6%
본 48
 
5.3%
건 48
 
5.3%
보 46
 
5.1%
소 46
 
5.1%
료 20
 
2.2%
진 20
 
2.2%
도 15
 
1.7%
Other values (89) 236
26.3%
Common
ValueCountFrequency (%)
179
40.0%
1 82
18.3%
2 77
17.2%
3 48
 
10.7%
4 28
 
6.3%
5 17
 
3.8%
6 16
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 899
66.8%
ASCII 447
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
179
40.0%
1 82
18.3%
2 77
17.2%
3 48
 
10.7%
4 28
 
6.3%
5 17
 
3.8%
6 16
 
3.6%
Hangul
ValueCountFrequency (%)
층 158
17.6%
관 158
17.6%
별 104
11.6%
본 48
 
5.3%
건 48
 
5.3%
보 46
 
5.1%
소 46
 
5.1%
료 20
 
2.2%
진 20
 
2.2%
도 15
 
1.7%
Other values (89) 236
26.3%

도로명 주소
Text

MISSING 

Distinct52
Distinct (%)23.3%
Missing5
Missing (%)2.2%
Memory size1.9 KiB
2023-12-12T09:48:07.288122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length11.914798
Min length10

Characters and Unicode

Total characters2657
Distinct characters85
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)18.8%

Sample

1st row제주시 광양9길 10
2nd row제주시 광양9길 10
3rd row제주시 광양9길 3
4th row제주시 광양9길 3
5th row제주시 광양9길 3
ValueCountFrequency (%)
제주시 223
31.4%
광양9길 139
19.5%
10 110
15.5%
13 18
 
2.5%
동광로2길 17
 
2.4%
15 12
 
1.7%
구좌읍 10
 
1.4%
3 9
 
1.3%
264 9
 
1.3%
한림읍 9
 
1.3%
Other values (86) 155
21.8%
2023-12-12T09:48:07.771605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
488
18.4%
주 226
 
8.5%
제 223
 
8.4%
시 223
 
8.4%
길 185
 
7.0%
1 174
 
6.5%
광 163
 
6.1%
9 147
 
5.5%
양 140
 
5.3%
0 115
 
4.3%
Other values (75) 573
21.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1522
57.3%
Decimal Number 640
24.1%
Space Separator 488
 
18.4%
Dash Punctuation 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 226
14.8%
제 223
14.7%
시 223
14.7%
길 185
12.2%
광 163
10.7%
양 140
9.2%
로 70
 
4.6%
읍 34
 
2.2%
동 28
 
1.8%
한 17
 
1.1%
Other values (63) 213
14.0%
Decimal Number
ValueCountFrequency (%)
1 174
27.2%
9 147
23.0%
0 115
18.0%
2 61
 
9.5%
3 47
 
7.3%
5 30
 
4.7%
4 29
 
4.5%
6 25
 
3.9%
7 7
 
1.1%
8 5
 
0.8%
Space Separator
ValueCountFrequency (%)
488
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1522
57.3%
Common 1135
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 226
14.8%
제 223
14.7%
시 223
14.7%
길 185
12.2%
광 163
10.7%
양 140
9.2%
로 70
 
4.6%
읍 34
 
2.2%
동 28
 
1.8%
한 17
 
1.1%
Other values (63) 213
14.0%
Common
ValueCountFrequency (%)
488
43.0%
1 174
 
15.3%
9 147
 
13.0%
0 115
 
10.1%
2 61
 
5.4%
3 47
 
4.1%
5 30
 
2.6%
4 29
 
2.6%
6 25
 
2.2%
- 7
 
0.6%
Other values (2) 12
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1522
57.3%
ASCII 1135
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
488
43.0%
1 174
 
15.3%
9 147
 
13.0%
0 115
 
10.1%
2 61
 
5.4%
3 47
 
4.1%
5 30
 
2.6%
4 29
 
2.6%
6 25
 
2.2%
- 7
 
0.6%
Other values (2) 12
 
1.1%
Hangul
ValueCountFrequency (%)
주 226
14.8%
제 223
14.7%
시 223
14.7%
길 185
12.2%
광 163
10.7%
양 140
9.2%
로 70
 
4.6%
읍 34
 
2.2%
동 28
 
1.8%
한 17
 
1.1%
Other values (63) 213
14.0%

위도 좌표
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing228
Missing (%)100.0%
Memory size2.1 KiB

경도 좌표
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing228
Missing (%)100.0%
Memory size2.1 KiB

부서 전화번호
Text

Distinct225
Distinct (%)99.6%
Missing2
Missing (%)0.9%
Memory size1.9 KiB
2023-12-12T09:48:08.055185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2712
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique224 ?
Unique (%)99.1%

Sample

1st row064-728-2032
2nd row064-728-2022
3rd row064-728-2102
4th row064-728-2122
5th row064-728-2132
ValueCountFrequency (%)
064-728-7392 2
 
0.9%
064-728-3523 1
 
0.4%
064-728-8950 1
 
0.4%
064-728-8931 1
 
0.4%
064-728-4000 1
 
0.4%
064-728-4021 1
 
0.4%
064-728-4229 1
 
0.4%
064-728-8900 1
 
0.4%
064-728-8330 1
 
0.4%
064-728-8360 1
 
0.4%
Other values (215) 215
95.1%
2023-12-12T09:48:08.512389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 453
16.7%
- 452
16.7%
7 302
11.1%
4 298
11.0%
0 287
10.6%
8 279
10.3%
6 270
10.0%
3 172
 
6.3%
1 106
 
3.9%
5 54
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2260
83.3%
Dash Punctuation 452
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 453
20.0%
7 302
13.4%
4 298
13.2%
0 287
12.7%
8 279
12.3%
6 270
11.9%
3 172
 
7.6%
1 106
 
4.7%
5 54
 
2.4%
9 39
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 452
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2712
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 453
16.7%
- 452
16.7%
7 302
11.1%
4 298
11.0%
0 287
10.6%
8 279
10.3%
6 270
10.0%
3 172
 
6.3%
1 106
 
3.9%
5 54
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2712
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 453
16.7%
- 452
16.7%
7 302
11.1%
4 298
11.0%
0 287
10.6%
8 279
10.3%
6 270
10.0%
3 172
 
6.3%
1 106
 
3.9%
5 54
 
2.0%

기타 내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing228
Missing (%)100.0%
Memory size2.1 KiB

등록 일시
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2022-10-30 00:00:00
Maximum2022-10-30 00:00:00
2023-12-12T09:48:08.654597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:48:08.759797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T09:48:08.843753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
실국 명부서 명부서 위치 명도로명 주소
실국 명1.0001.0000.9850.944
부서 명1.0001.0000.9980.999
부서 위치 명0.9850.9981.0001.000
도로명 주소0.9440.9991.0001.000

Missing values

2023-12-12T09:48:03.805796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:48:03.924592image/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.
2023-12-12T09:48:04.013046image/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

데이터 코드실국 명부서 명부서 상세 명부서 위치 명도로명 주소위도 좌표경도 좌표부서 전화번호기타 내용등록 일시
0BU0001공보실공보실공보실본관 2층제주시 광양9길 10<NA><NA>064-728-2032<NA>2022-10-30 00:00:00
1BU0002공보실공보실공보본관 2층제주시 광양9길 10<NA><NA>064-728-2022<NA>2022-10-30 00:00:00
2BU0003종합민원실종합민원실민원5별관 1층제주시 광양9길 3<NA><NA>064-728-2102<NA>2022-10-30 00:00:00
3BU0004종합민원실종합민원실가족관계등록5별관 1층제주시 광양9길 3<NA><NA>064-728-2122<NA>2022-10-30 00:00:00
4BU0005종합민원실종합민원실지적5별관 1층제주시 광양9길 3<NA><NA>064-728-2132<NA>2022-10-30 00:00:00
5BU0006종합민원실종합민원실지적재조사5별관 1층제주시 광양9길 3<NA><NA>064-728-2413<NA>2022-10-30 00:00:00
6BU0007종합민원실종합민원실지가고시5별관 1층제주시 광양9길 3<NA><NA>064-728-2143<NA>2022-10-30 00:00:00
7BU0008종합민원실종합민원실도로명부여5별관 1층제주시 광양9길 3<NA><NA>064-728-3898<NA>2022-10-30 00:00:00
8BU0009종합민원실종합민원실부동산관리5별관 1층제주시 광양9길 3<NA><NA>064-728-2152<NA>2022-10-30 00:00:00
9BU0010자치행정국총무과총무본관 2층제주시 광양9길 10<NA><NA>064-728-2042<NA>2022-10-30 00:00:00
데이터 코드실국 명부서 명부서 상세 명부서 위치 명도로명 주소위도 좌표경도 좌표부서 전화번호기타 내용등록 일시
218BU0219안전교통국교통행정과공영버스제주시공영버스차고지제주시 수목원서길 17<NA><NA>064-728-3211<NA>2022-10-30 00:00:00
219BU0220안전교통국교통행정과교통안전축구장 외 4 문 옆제주시 서광로2길 24<NA><NA>064-728-3201<NA>2022-10-30 00:00:00
220BU0221안전교통국교통행정과주차지도축구장 외 4 문 옆제주시 서광로2길 24<NA><NA>064-728-7351<NA>2022-10-30 00:00:00
221BU0222안전교통국교통행정과교통시설<NA><NA><NA><NA>064-728-7381<NA>2022-10-30 00:00:00
222BU0223안전교통국교통행정과교통유발부담금<NA><NA><NA><NA>064-728-7341<NA>2022-10-30 00:00:00
223BU0224문화관광체육국체육진흥과체육진흥<NA><NA><NA><NA>064-728-3261<NA>2022-10-30 00:00:00
224BU0225문화관광체육국체육진흥과제육관리<NA><NA><NA><NA>064-728-3271<NA>2022-10-30 00:00:00
225BU0226문화관광체육국체육진흥과체육시설<NA><NA><NA><NA>064-728-3281<NA>2022-10-30 00:00:00
226BU0227문화관광체육국체육진흥과제주국민체육센터우당도서관 앞제주시 사라봉동길 25<NA><NA>064-728-3461<NA>2022-10-30 00:00:00
227BU0228문화관광체육국체육진흥과애월국민체육센터애월국민체육센터제주시 애월읍 하귀동남1길 22<NA><NA>064-728-3910<NA>2022-10-30 00:00:00