Overview

Dataset statistics

Number of variables8
Number of observations59
Missing cells20
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory68.2 B

Variable types

Categorical2
Text4
Numeric2

Dataset

Description인천광역시 미추홀구의 치매안심기관 현황에 대한 데이터로 유형, 기관명, 도로명주소, 전화번호, 운영유형, 좌표값을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15085616&srcSe=7661IVAWM27C61E190

Alerts

유형 is highly overall correlated with 운영유형High correlation
운영유형 is highly overall correlated with 유형High correlation
전화번호 has 20 (33.9%) missing valuesMissing
기관명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 11:51:58.438063
Analysis finished2024-01-28 11:51:59.494453
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
치매안심가맹점
38 
치매극복선도단체
13 
치매안심기관
5 
치매안심업소
 
3

Length

Max length8
Median length7
Mean length7.0847458
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
치매안심가맹점 38
64.4%
치매극복선도단체 13
 
22.0%
치매안심기관 5
 
8.5%
치매안심업소 3
 
5.1%

Length

2024-01-28T20:51:59.560625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:51:59.666030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치매안심가맹점 38
64.4%
치매극복선도단체 13
 
22.0%
치매안심기관 5
 
8.5%
치매안심업소 3
 
5.1%

기관명
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-01-28T20:51:59.843212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length7.7966102
Min length2

Characters and Unicode

Total characters460
Distinct characters149
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st row미추홀구시설관리공단
2nd row국민은행 숭의동지점
3rd row숭의4동행정복지센터
4th row미추홀경찰서 숭의지구대
5th row제물포 세마을금고
ValueCountFrequency (%)
세븐일레븐 3
 
4.2%
숭의미추로점 2
 
2.8%
미추홀구시설관리공단 1
 
1.4%
정다함돈까스 1
 
1.4%
밥집 1
 
1.4%
숭의타운점 1
 
1.4%
인천경인로점 1
 
1.4%
미니스톱 1
 
1.4%
숭의점 1
 
1.4%
cu관교인하로점 1
 
1.4%
Other values (59) 59
81.9%
2024-01-28T20:52:00.147345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 22
 
4.8%
의 16
 
3.5%
미 14
 
3.0%
인 14
 
3.0%
숭 14
 
3.0%
13
 
2.8%
터 9
 
2.0%
지 9
 
2.0%
국 8
 
1.7%
스 7
 
1.5%
Other values (139) 334
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 410
89.1%
Uppercase Letter 20
 
4.3%
Decimal Number 14
 
3.0%
Space Separator 13
 
2.8%
Open Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 22
 
5.4%
의 16
 
3.9%
미 14
 
3.4%
인 14
 
3.4%
숭 14
 
3.4%
터 9
 
2.2%
지 9
 
2.2%
국 8
 
2.0%
스 7
 
1.7%
이 7
 
1.7%
Other values (128) 290
70.7%
Uppercase Letter
ValueCountFrequency (%)
C 7
35.0%
U 7
35.0%
G 3
15.0%
S 3
15.0%
Decimal Number
ValueCountFrequency (%)
2 7
50.0%
4 4
28.6%
5 3
21.4%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 410
89.1%
Common 30
 
6.5%
Latin 20
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 22
 
5.4%
의 16
 
3.9%
미 14
 
3.4%
인 14
 
3.4%
숭 14
 
3.4%
터 9
 
2.2%
지 9
 
2.2%
국 8
 
2.0%
스 7
 
1.7%
이 7
 
1.7%
Other values (128) 290
70.7%
Common
ValueCountFrequency (%)
13
43.3%
2 7
23.3%
4 4
 
13.3%
5 3
 
10.0%
( 1
 
3.3%
& 1
 
3.3%
) 1
 
3.3%
Latin
ValueCountFrequency (%)
C 7
35.0%
U 7
35.0%
G 3
15.0%
S 3
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 410
89.1%
ASCII 50
 
10.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 22
 
5.4%
의 16
 
3.9%
미 14
 
3.4%
인 14
 
3.4%
숭 14
 
3.4%
터 9
 
2.2%
지 9
 
2.2%
국 8
 
2.0%
스 7
 
1.7%
이 7
 
1.7%
Other values (128) 290
70.7%
ASCII
ValueCountFrequency (%)
13
26.0%
2 7
14.0%
C 7
14.0%
U 7
14.0%
4 4
 
8.0%
G 3
 
6.0%
5 3
 
6.0%
S 3
 
6.0%
( 1
 
2.0%
& 1
 
2.0%

도로명주소
Text

Distinct51
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-01-28T20:52:00.355600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length19.457627
Min length17

Characters and Unicode

Total characters1148
Distinct characters52
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

Unique48 ?
Unique (%)81.4%

Sample

1st row인천광역시 미추홀구 경인로51번길 21
2nd row인천광역시 미추홀구 경인로 59
3rd row인천광역시 미추홀구 경인로156번길 32
4th row인천광역시 미추홀구 인주대로 78
5th row인천광역시 미추홀구 수봉로 22-1
ValueCountFrequency (%)
인천광역시 59
24.3%
미추홀구 59
24.3%
경인로 15
 
6.2%
수봉로 10
 
4.1%
지하 7
 
2.9%
343 7
 
2.9%
3 4
 
1.6%
독배로 3
 
1.2%
장천로112번길 3
 
1.2%
12 3
 
1.2%
Other values (68) 73
30.0%
2024-01-28T20:52:00.670511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
16.0%
인 83
 
7.2%
천 63
 
5.5%
미 62
 
5.4%
추 62
 
5.4%
홀 61
 
5.3%
광 59
 
5.1%
역 59
 
5.1%
시 59
 
5.1%
구 59
 
5.1%
Other values (42) 397
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 771
67.2%
Decimal Number 188
 
16.4%
Space Separator 184
 
16.0%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 83
10.8%
천 63
8.2%
미 62
8.0%
추 62
8.0%
홀 61
7.9%
광 59
7.7%
역 59
7.7%
시 59
7.7%
구 59
7.7%
로 58
 
7.5%
Other values (30) 146
18.9%
Decimal Number
ValueCountFrequency (%)
1 40
21.3%
3 38
20.2%
2 24
12.8%
4 22
11.7%
8 20
10.6%
5 14
 
7.4%
6 10
 
5.3%
7 9
 
4.8%
0 7
 
3.7%
9 4
 
2.1%
Space Separator
ValueCountFrequency (%)
184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 771
67.2%
Common 377
32.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 83
10.8%
천 63
8.2%
미 62
8.0%
추 62
8.0%
홀 61
7.9%
광 59
7.7%
역 59
7.7%
시 59
7.7%
구 59
7.7%
로 58
 
7.5%
Other values (30) 146
18.9%
Common
ValueCountFrequency (%)
184
48.8%
1 40
 
10.6%
3 38
 
10.1%
2 24
 
6.4%
4 22
 
5.8%
8 20
 
5.3%
5 14
 
3.7%
6 10
 
2.7%
7 9
 
2.4%
0 7
 
1.9%
Other values (2) 9
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 771
67.2%
ASCII 377
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
184
48.8%
1 40
 
10.6%
3 38
 
10.1%
2 24
 
6.4%
4 22
 
5.8%
8 20
 
5.3%
5 14
 
3.7%
6 10
 
2.7%
7 9
 
2.4%
0 7
 
1.9%
Other values (2) 9
 
2.4%
Hangul
ValueCountFrequency (%)
인 83
10.8%
천 63
8.2%
미 62
8.0%
추 62
8.0%
홀 61
7.9%
광 59
7.7%
역 59
7.7%
시 59
7.7%
구 59
7.7%
로 58
 
7.5%
Other values (30) 146
18.9%

전화번호
Text

MISSING 

Distinct39
Distinct (%)100.0%
Missing20
Missing (%)33.9%
Memory size604.0 B
2024-01-28T20:52:00.866896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.948718
Min length9

Characters and Unicode

Total characters466
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

Unique39 ?
Unique (%)100.0%

Sample

1st row032-891-6091
2nd row032-883-8075
3rd row032-728-6141
4th row032-717-9303
5th row032-887-2043
ValueCountFrequency (%)
032-891-6091 1
 
2.6%
1577-9621 1
 
2.6%
0507-1325-9211 1
 
2.6%
032-889-4400 1
 
2.6%
032-873-1746 1
 
2.6%
032-868-3841 1
 
2.6%
032-875-9472 1
 
2.6%
032-872-0060 1
 
2.6%
032-868-3827 1
 
2.6%
032-887-9697 1
 
2.6%
Other values (29) 29
74.4%
2024-01-28T20:52:01.196226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 76
16.3%
8 69
14.8%
2 63
13.5%
0 61
13.1%
3 54
11.6%
7 37
7.9%
1 28
 
6.0%
6 28
 
6.0%
9 20
 
4.3%
4 20
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 390
83.7%
Dash Punctuation 76
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 69
17.7%
2 63
16.2%
0 61
15.6%
3 54
13.8%
7 37
9.5%
1 28
7.2%
6 28
7.2%
9 20
 
5.1%
4 20
 
5.1%
5 10
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 466
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 76
16.3%
8 69
14.8%
2 63
13.5%
0 61
13.1%
3 54
11.6%
7 37
7.9%
1 28
 
6.0%
6 28
 
6.0%
9 20
 
4.3%
4 20
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 466
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 76
16.3%
8 69
14.8%
2 63
13.5%
0 61
13.1%
3 54
11.6%
7 37
7.9%
1 28
 
6.0%
6 28
 
6.0%
9 20
 
4.3%
4 20
 
4.3%

운영유형
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
편의점
18 
약국
6 
의류/잡화 판매
4 
미용실
4 
노인시설
4 
Other values (13)
23 

Length

Max length8
Median length3
Mean length3.4745763
Min length2

Unique

Unique6 ?
Unique (%)10.2%

Sample

1st row공사,공단
2nd row은행
3rd row행정복지센터
4th row지구대
5th row은행

Common Values

ValueCountFrequency (%)
편의점 18
30.5%
약국 6
 
10.2%
의류/잡화 판매 4
 
6.8%
미용실 4
 
6.8%
노인시설 4
 
6.8%
음식점 4
 
6.8%
슈퍼 3
 
5.1%
행정복지센터 2
 
3.4%
복지관 2
 
3.4%
공사,공단 2
 
3.4%
Other values (8) 10
16.9%

Length

2024-01-28T20:52:01.308118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
편의점 18
28.6%
약국 6
 
9.5%
의류/잡화 4
 
6.3%
판매 4
 
6.3%
미용실 4
 
6.3%
노인시설 4
 
6.3%
음식점 4
 
6.3%
슈퍼 3
 
4.8%
세탁소 2
 
3.2%
은행 2
 
3.2%
Other values (9) 12
19.0%

지정번호
Text

Distinct52
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-01-28T20:52:01.500276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length13.542373
Min length12

Characters and Unicode

Total characters799
Distinct characters14
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

Unique51 ?
Unique (%)86.4%

Sample

1st row제00-0-0-00-000호
2nd row제00-0-0-00-000호
3rd row제00-0-0-00-000호
4th row제00-0-0-00-000호
5th row제00-0-0-00-000호
ValueCountFrequency (%)
제00-0-0-00-000호 8
 
13.6%
제17-4-2-11-110호 1
 
1.7%
제22-4-71-2023호 1
 
1.7%
제21-4-33-1313호 1
 
1.7%
제21-4-31-1311호 1
 
1.7%
제21-4-30-1310호 1
 
1.7%
제22-4-2-267호 1
 
1.7%
제22-4-3-268호 1
 
1.7%
제22-4-4-269호 1
 
1.7%
제22-4-15-342호 1
 
1.7%
Other values (42) 42
71.2%
2024-01-28T20:52:01.829634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 198
24.8%
0 93
11.6%
2 91
11.4%
1 83
10.4%
4 67
 
8.4%
제 59
 
7.4%
호 59
 
7.4%
3 46
 
5.8%
6 27
 
3.4%
5 24
 
3.0%
Other values (4) 52
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 479
59.9%
Dash Punctuation 198
24.8%
Other Letter 118
 
14.8%
Space Separator 4
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 93
19.4%
2 91
19.0%
1 83
17.3%
4 67
14.0%
3 46
9.6%
6 27
 
5.6%
5 24
 
5.0%
7 20
 
4.2%
8 16
 
3.3%
9 12
 
2.5%
Other Letter
ValueCountFrequency (%)
제 59
50.0%
호 59
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 681
85.2%
Hangul 118
 
14.8%

Most frequent character per script

Common
ValueCountFrequency (%)
- 198
29.1%
0 93
13.7%
2 91
13.4%
1 83
12.2%
4 67
 
9.8%
3 46
 
6.8%
6 27
 
4.0%
5 24
 
3.5%
7 20
 
2.9%
8 16
 
2.3%
Other values (2) 16
 
2.3%
Hangul
ValueCountFrequency (%)
제 59
50.0%
호 59
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 681
85.2%
Hangul 118
 
14.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 198
29.1%
0 93
13.7%
2 91
13.4%
1 83
12.2%
4 67
 
9.8%
3 46
 
6.8%
6 27
 
4.0%
5 24
 
3.5%
7 20
 
2.9%
8 16
 
2.3%
Other values (2) 16
 
2.3%
Hangul
ValueCountFrequency (%)
제 59
50.0%
호 59
50.0%

위도
Real number (ℝ)

Distinct51
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.460658
Minimum37.438632
Maximum37.46955
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-01-28T20:52:01.944777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.438632
5-th percentile37.445321
Q137.458752
median37.462695
Q337.464624
95-th percentile37.466752
Maximum37.46955
Range0.0309173
Interquartile range (IQR)0.005872065

Descriptive statistics

Standard deviation0.0065950359
Coefficient of variation (CV)0.00017605232
Kurtosis3.4851171
Mean37.460658
Median Absolute Deviation (MAD)0.0027865
Skewness-1.8062119
Sum2210.1788
Variance4.3494498 × 10-5
MonotonicityNot monotonic
2024-01-28T20:52:02.055271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.45875167 7
 
11.9%
37.46020025 2
 
3.4%
37.46289366 2
 
3.4%
37.46547324 1
 
1.7%
37.46403167 1
 
1.7%
37.46163273 1
 
1.7%
37.45965897 1
 
1.7%
37.46173221 1
 
1.7%
37.45758067 1
 
1.7%
37.46935638 1
 
1.7%
Other values (41) 41
69.5%
ValueCountFrequency (%)
37.43863229 1
1.7%
37.43866722 1
1.7%
37.44507738 1
1.7%
37.44534783 1
1.7%
37.44741701 1
1.7%
37.45081807 1
1.7%
37.45130277 1
1.7%
37.45758067 1
1.7%
37.4576379 1
1.7%
37.45826008 1
1.7%
ValueCountFrequency (%)
37.46954959 1
1.7%
37.4694746 1
1.7%
37.46935638 1
1.7%
37.46646218 1
1.7%
37.46599819 1
1.7%
37.46599683 1
1.7%
37.46593362 1
1.7%
37.46588606 1
1.7%
37.46549739 1
1.7%
37.46548198 1
1.7%

경도
Real number (ℝ)

Distinct51
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.6597
Minimum126.63809
Maximum126.69207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-01-28T20:52:02.184368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63809
5-th percentile126.64477
Q1126.64927
median126.65669
Q3126.66569
95-th percentile126.68036
Maximum126.69207
Range0.0539819
Interquartile range (IQR)0.0164157

Descriptive statistics

Standard deviation0.012584403
Coefficient of variation (CV)9.9356018 × 10-5
Kurtosis-0.16504416
Mean126.6597
Median Absolute Deviation (MAD)0.007851
Skewness0.75005862
Sum7472.922
Variance0.0001583672
MonotonicityNot monotonic
2024-01-28T20:52:02.300397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6775268 7
 
11.9%
126.6587065 2
 
3.4%
126.6565392 2
 
3.4%
126.647963 1
 
1.7%
126.6478261 1
 
1.7%
126.6582886 1
 
1.7%
126.6595653 1
 
1.7%
126.6577642 1
 
1.7%
126.6631366 1
 
1.7%
126.6796258 1
 
1.7%
Other values (41) 41
69.5%
ValueCountFrequency (%)
126.6380872 1
1.7%
126.6426455 1
1.7%
126.6426622 1
1.7%
126.645004 1
1.7%
126.6457916 1
1.7%
126.6460101 1
1.7%
126.6463496 1
1.7%
126.6472695 1
1.7%
126.6473511 1
1.7%
126.6478261 1
1.7%
ValueCountFrequency (%)
126.6920691 1
 
1.7%
126.6873266 1
 
1.7%
126.6869219 1
 
1.7%
126.6796258 1
 
1.7%
126.6775268 7
11.9%
126.6772344 1
 
1.7%
126.6711736 1
 
1.7%
126.6668446 1
 
1.7%
126.6668301 1
 
1.7%
126.6645458 1
 
1.7%

Interactions

2024-01-28T20:51:58.922153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:51:58.769556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:51:58.992943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:51:58.844785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:52:02.375581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형기관명도로명주소전화번호운영유형지정번호위도경도
유형1.0001.0001.0001.0000.8560.0000.4570.368
기관명1.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0000.0000.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
운영유형0.8561.0000.0001.0001.0000.0000.5780.765
지정번호0.0001.0000.0001.0000.0001.0000.9950.896
위도0.4571.0001.0001.0000.5780.9951.0000.698
경도0.3681.0001.0001.0000.7650.8960.6981.000
2024-01-28T20:52:02.460376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영유형유형
운영유형1.0000.571
유형0.5711.000
2024-01-28T20:52:02.524458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도유형운영유형
위도1.000-0.2430.2050.247
경도-0.2431.0000.2270.323
유형0.2050.2271.0000.571
운영유형0.2470.3230.5711.000

Missing values

2024-01-28T20:51:59.357641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:51:59.455567image/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

유형기관명도로명주소전화번호운영유형지정번호위도경도
0치매안심기관미추홀구시설관리공단인천광역시 미추홀구 경인로51번길 21032-891-6091공사,공단제00-0-0-00-000호37.465473126.647963
1치매안심기관국민은행 숭의동지점인천광역시 미추홀구 경인로 59032-883-8075은행제00-0-0-00-000호37.465059126.649386
2치매안심기관숭의4동행정복지센터인천광역시 미추홀구 경인로156번길 32032-728-6141행정복지센터제00-0-0-00-000호37.464839126.659137
3치매안심기관미추홀경찰서 숭의지구대인천광역시 미추홀구 인주대로 78032-717-9303지구대제00-0-0-00-000호37.457638126.64601
4치매안심기관제물포 세마을금고인천광역시 미추홀구 수봉로 22-1032-887-2043은행제00-0-0-00-000호37.464129126.656022
5치매안심업소은혜약국인천광역시 미추홀구 경인로 128032-884-5848약국제00-0-0-00-000호37.465997126.656821
6치매안심업소나래미용실인천광역시 미추홀구 경인로88번길 11<NA>미용실제00-0-0-00-000호37.465482126.652837
7치매안심업소희아헤어인천광역시 미추홀구 수봉안길35번길 38<NA>미용실제00-0-0-00-000호37.463759126.659874
8치매극복선도단체주안노인문화센터인천광역시 미추홀구 석정로 464032-867-3312노인시설제17-4-2-11-110호37.465886126.687327
9치매극복선도단체인천재가노인지원서비스센터인천광역시 미추홀구 매소홀로386번길 32032-872-9088노인시설제17-4-2-16-220호37.438632126.664546
유형기관명도로명주소전화번호운영유형지정번호위도경도
49치매안심가맹점이마트24미추홀구청점인천광역시 미추홀구 경인로 670507-1364-9277편의점제23-4-12-443호37.465497126.650241
50치매안심가맹점이마트24제물포남부역점인천광역시 미추홀구 경인로 113032-888-7150편의점제23-4-15-478호37.466462126.655204
51치매안심가맹점GS25숭의해피점인천광역시 미추홀구 장천로112번길 3032-872-4137편의점제23-4-16-491호37.462894126.656539
52치매안심가맹점스마일 편의점인천광역시 미추홀구 장천로112번길 10<NA>편의점제23-4-22-517호37.462572126.656271
53치매안심가맹점세븐일레븐 숭의센터점인천광역시 미추홀구 수봉로33번길 28-26<NA>편의점제23-4-23-595호37.46286126.65824
54치매안심가맹점가족건강라이프인천광역시 미추홀구 경인로 지하 343<NA>의류/잡화 판매제23-4-24-596호37.458752126.677527
55치매안심가맹점GS25남구숭의점인천광역시 미추홀구 독배로 438032-881-9796편의점제23-4-34-680호37.458654126.649158
56치매안심가맹점세븐일레븐 숭의미추로점인천광역시 미추홀구 미추로 51<NA>편의점제23-4-35-838호37.46454126.645792
57치매안심가맹점이마트24 숭의미추로점인천광역시 미추홀구 미추로 48032-887-9697편의점제23-4-37-864호37.464289126.64635
58치매안심가맹점CU숭의그린점인천광역시 미추홀구 석정로10번길 12032-883-3666편의점제23-4-71-960호37.460409126.642646