Overview

Dataset statistics

Number of variables9
Number of observations47
Missing cells62
Missing cells (%)14.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory78.8 B

Variable types

Categorical2
Text3
Numeric4

Dataset

Description공동생활가정(기타복지) 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=442J0BF35U9GIAMY05II13946470&infSeq=1

Alerts

영업상태명 has constant value ""Constant
소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
소재지도로명주소 has 18 (38.3%) missing valuesMissing
소재지우편번호 has 14 (29.8%) missing valuesMissing
WGS84위도 has 15 (31.9%) missing valuesMissing
WGS84경도 has 15 (31.9%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:04:01.531709
Analysis finished2023-12-10 21:04:04.348309
Duration2.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
안산시
12 
성남시
10 
부천시
5 
의정부시
5 
고양시
2 
Other values (10)
13 

Length

Max length4
Median length3
Mean length3.1489362
Min length3

Unique

Unique7 ?
Unique (%)14.9%

Sample

1st row고양시
2nd row고양시
3rd row과천시
4th row구리시
5th row군포시

Common Values

ValueCountFrequency (%)
안산시 12
25.5%
성남시 10
21.3%
부천시 5
10.6%
의정부시 5
10.6%
고양시 2
 
4.3%
군포시 2
 
4.3%
오산시 2
 
4.3%
파주시 2
 
4.3%
과천시 1
 
2.1%
구리시 1
 
2.1%
Other values (5) 5
10.6%

Length

2023-12-11T06:04:04.436324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산시 12
25.5%
성남시 10
21.3%
부천시 5
10.6%
의정부시 5
10.6%
고양시 2
 
4.3%
군포시 2
 
4.3%
오산시 2
 
4.3%
파주시 2
 
4.3%
과천시 1
 
2.1%
구리시 1
 
2.1%
Other values (5) 5
10.6%

사업장명
Text

Distinct33
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-11T06:04:04.655627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length10.659574
Min length2

Characters and Unicode

Total characters501
Distinct characters117
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)55.3%

Sample

1st row프란치스코사회복지회
2nd row사회복지법인 굿네이버스
3rd row천주교수원교구유지재단
4th row재)한국기독교청년회YMCA
5th row(재)천주교수원교구유지재단
ValueCountFrequency (%)
들꽃청소년세상 8
 
10.3%
사회복지법인 8
 
10.3%
재단법인 5
 
6.4%
굿네이버스 3
 
3.8%
은행골우리집 3
 
3.8%
사단법인 3
 
3.8%
집 2
 
2.6%
세상 2
 
2.6%
아름다운 2
 
2.6%
사)청소년이 2
 
2.6%
Other values (36) 40
51.3%
2023-12-11T06:04:05.062566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
6.2%
회 24
 
4.8%
사 22
 
4.4%
지 20
 
4.0%
인 18
 
3.6%
법 17
 
3.4%
교 16
 
3.2%
단 15
 
3.0%
재 14
 
2.8%
복 14
 
2.8%
Other values (107) 310
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 458
91.4%
Space Separator 31
 
6.2%
Close Punctuation 5
 
1.0%
Uppercase Letter 4
 
0.8%
Open Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 24
 
5.2%
사 22
 
4.8%
지 20
 
4.4%
인 18
 
3.9%
법 17
 
3.7%
교 16
 
3.5%
단 15
 
3.3%
재 14
 
3.1%
복 14
 
3.1%
세 13
 
2.8%
Other values (100) 285
62.2%
Uppercase Letter
ValueCountFrequency (%)
Y 1
25.0%
M 1
25.0%
C 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 458
91.4%
Common 39
 
7.8%
Latin 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 24
 
5.2%
사 22
 
4.8%
지 20
 
4.4%
인 18
 
3.9%
법 17
 
3.7%
교 16
 
3.5%
단 15
 
3.3%
재 14
 
3.1%
복 14
 
3.1%
세 13
 
2.8%
Other values (100) 285
62.2%
Latin
ValueCountFrequency (%)
Y 1
25.0%
M 1
25.0%
C 1
25.0%
A 1
25.0%
Common
ValueCountFrequency (%)
31
79.5%
) 5
 
12.8%
( 3
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 458
91.4%
ASCII 43
 
8.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
72.1%
) 5
 
11.6%
( 3
 
7.0%
Y 1
 
2.3%
M 1
 
2.3%
C 1
 
2.3%
A 1
 
2.3%
Hangul
ValueCountFrequency (%)
회 24
 
5.2%
사 22
 
4.8%
지 20
 
4.4%
인 18
 
3.9%
법 17
 
3.7%
교 16
 
3.5%
단 15
 
3.3%
재 14
 
3.1%
복 14
 
3.1%
세 13
 
2.8%
Other values (100) 285
62.2%

인허가일자
Real number (ℝ)

Distinct45
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20048361
Minimum19830615
Maximum20140630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-11T06:04:05.231236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19830615
5-th percentile19933383
Q120030601
median20060518
Q320081014
95-th percentile20120718
Maximum20140630
Range310015
Interquartile range (IQR)50413.5

Descriptive statistics

Standard deviation59203.657
Coefficient of variation (CV)0.0029530422
Kurtosis3.0269927
Mean20048361
Median Absolute Deviation (MAD)20610
Skewness-1.4316583
Sum9.4227298 × 108
Variance3.505073 × 109
MonotonicityNot monotonic
2023-12-11T06:04:05.463063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20060518 2
 
4.3%
19930115 2
 
4.3%
20050705 1
 
2.1%
20000501 1
 
2.1%
20090601 1
 
2.1%
20060201 1
 
2.1%
19941009 1
 
2.1%
20011001 1
 
2.1%
19980201 1
 
2.1%
20040201 1
 
2.1%
Other values (35) 35
74.5%
ValueCountFrequency (%)
19830615 1
2.1%
19930115 2
4.3%
19941009 1
2.1%
19970401 1
2.1%
19980201 1
2.1%
19981218 1
2.1%
20000501 1
2.1%
20001001 1
2.1%
20010701 1
2.1%
20011001 1
2.1%
ValueCountFrequency (%)
20140630 1
2.1%
20121210 1
2.1%
20120718 1
2.1%
20120717 1
2.1%
20120329 1
2.1%
20111124 1
2.1%
20100924 1
2.1%
20100316 1
2.1%
20091230 1
2.1%
20090601 1
2.1%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
운영중
47 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 47
100.0%

Length

2023-12-11T06:04:05.619684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:05.727593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 47
100.0%

소재지도로명주소
Text

MISSING 

Distinct28
Distinct (%)96.6%
Missing18
Missing (%)38.3%
Memory size508.0 B
2023-12-11T06:04:05.982857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.896552
Min length16

Characters and Unicode

Total characters606
Distinct characters80
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

Unique27 ?
Unique (%)93.1%

Sample

1st row경기도 과천시 부림3길 6-14
2nd row경기도 구리시 벌말로 133-16
3rd row경기도 군포시 군포로456번길 19-4
4th row경기도 남양주시 평내로14번길 8-4
5th row경기도 부천시 원미로78번길 47-18
ValueCountFrequency (%)
경기도 29
21.5%
안산시 9
 
6.7%
성남시 8
 
5.9%
중원구 7
 
5.2%
단원구 7
 
5.2%
부천시 4
 
3.0%
산성대로552번길 2
 
1.5%
15 2
 
1.5%
상록구 2
 
1.5%
의정부시 2
 
1.5%
Other values (63) 63
46.7%
2023-12-11T06:04:06.447925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
 
17.5%
기 30
 
5.0%
경 29
 
4.8%
도 29
 
4.8%
시 29
 
4.8%
1 28
 
4.6%
로 26
 
4.3%
길 23
 
3.8%
5 21
 
3.5%
원 19
 
3.1%
Other values (70) 266
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 373
61.6%
Decimal Number 114
 
18.8%
Space Separator 106
 
17.5%
Dash Punctuation 13
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 30
 
8.0%
경 29
 
7.8%
도 29
 
7.8%
시 29
 
7.8%
로 26
 
7.0%
길 23
 
6.2%
원 19
 
5.1%
구 19
 
5.1%
번 14
 
3.8%
산 12
 
3.2%
Other values (58) 143
38.3%
Decimal Number
ValueCountFrequency (%)
1 28
24.6%
5 21
18.4%
4 13
11.4%
2 10
 
8.8%
8 10
 
8.8%
7 9
 
7.9%
6 8
 
7.0%
3 8
 
7.0%
9 5
 
4.4%
0 2
 
1.8%
Space Separator
ValueCountFrequency (%)
106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 373
61.6%
Common 233
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 30
 
8.0%
경 29
 
7.8%
도 29
 
7.8%
시 29
 
7.8%
로 26
 
7.0%
길 23
 
6.2%
원 19
 
5.1%
구 19
 
5.1%
번 14
 
3.8%
산 12
 
3.2%
Other values (58) 143
38.3%
Common
ValueCountFrequency (%)
106
45.5%
1 28
 
12.0%
5 21
 
9.0%
4 13
 
5.6%
- 13
 
5.6%
2 10
 
4.3%
8 10
 
4.3%
7 9
 
3.9%
6 8
 
3.4%
3 8
 
3.4%
Other values (2) 7
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 373
61.6%
ASCII 233
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
45.5%
1 28
 
12.0%
5 21
 
9.0%
4 13
 
5.6%
- 13
 
5.6%
2 10
 
4.3%
8 10
 
4.3%
7 9
 
3.9%
6 8
 
3.4%
3 8
 
3.4%
Other values (2) 7
 
3.0%
Hangul
ValueCountFrequency (%)
기 30
 
8.0%
경 29
 
7.8%
도 29
 
7.8%
시 29
 
7.8%
로 26
 
7.0%
길 23
 
6.2%
원 19
 
5.1%
구 19
 
5.1%
번 14
 
3.8%
산 12
 
3.2%
Other values (58) 143
38.3%

소재지지번주소
Text

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-11T06:04:06.770575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length19.489362
Min length11

Characters and Unicode

Total characters916
Distinct characters99
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

Unique45 ?
Unique (%)95.7%

Sample

1st row경기도 고양시 일산서구 탄현동 1485번지
2nd row경기도 고양시 덕양구 행신동
3rd row경기도 과천시 부림동 31-6번지
4th row경기도 구리시 토평동 981-1번지
5th row경기도 군포시 당동 915-15번지
ValueCountFrequency (%)
경기도 47
22.5%
안산시 12
 
5.7%
성남시 10
 
4.8%
단원구 9
 
4.3%
중원구 8
 
3.8%
와동 7
 
3.3%
부천시 5
 
2.4%
은행동 5
 
2.4%
의정부시 5
 
2.4%
상록구 3
 
1.4%
Other values (88) 98
46.9%
2023-12-11T06:04:07.319047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
17.7%
동 49
 
5.3%
경 47
 
5.1%
시 47
 
5.1%
도 47
 
5.1%
기 47
 
5.1%
지 39
 
4.3%
번 36
 
3.9%
1 29
 
3.2%
구 27
 
2.9%
Other values (89) 386
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 585
63.9%
Space Separator 162
 
17.7%
Decimal Number 147
 
16.0%
Dash Punctuation 22
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 49
 
8.4%
경 47
 
8.0%
시 47
 
8.0%
도 47
 
8.0%
기 47
 
8.0%
지 39
 
6.7%
번 36
 
6.2%
구 27
 
4.6%
원 23
 
3.9%
산 17
 
2.9%
Other values (77) 206
35.2%
Decimal Number
ValueCountFrequency (%)
1 29
19.7%
5 20
13.6%
8 17
11.6%
7 15
10.2%
3 13
8.8%
2 13
8.8%
4 12
8.2%
0 11
 
7.5%
6 9
 
6.1%
9 8
 
5.4%
Space Separator
ValueCountFrequency (%)
162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 585
63.9%
Common 331
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 49
 
8.4%
경 47
 
8.0%
시 47
 
8.0%
도 47
 
8.0%
기 47
 
8.0%
지 39
 
6.7%
번 36
 
6.2%
구 27
 
4.6%
원 23
 
3.9%
산 17
 
2.9%
Other values (77) 206
35.2%
Common
ValueCountFrequency (%)
162
48.9%
1 29
 
8.8%
- 22
 
6.6%
5 20
 
6.0%
8 17
 
5.1%
7 15
 
4.5%
3 13
 
3.9%
2 13
 
3.9%
4 12
 
3.6%
0 11
 
3.3%
Other values (2) 17
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 585
63.9%
ASCII 331
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
162
48.9%
1 29
 
8.8%
- 22
 
6.6%
5 20
 
6.0%
8 17
 
5.1%
7 15
 
4.5%
3 13
 
3.9%
2 13
 
3.9%
4 12
 
3.6%
0 11
 
3.3%
Other values (2) 17
 
5.1%
Hangul
ValueCountFrequency (%)
동 49
 
8.4%
경 47
 
8.0%
시 47
 
8.0%
도 47
 
8.0%
기 47
 
8.0%
지 39
 
6.7%
번 36
 
6.2%
구 27
 
4.6%
원 23
 
3.9%
산 17
 
2.9%
Other values (77) 206
35.2%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct30
Distinct (%)90.9%
Missing14
Missing (%)29.8%
Infinite0
Infinite (%)0.0%
Mean14257.97
Minimum10243
Maximum18119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-11T06:04:07.521327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10243
5-th percentile11652.2
Q113153
median14593
Q315253
95-th percentile17514.8
Maximum18119
Range7876
Interquartile range (IQR)2100

Descriptive statistics

Standard deviation1828.9736
Coefficient of variation (CV)0.12827728
Kurtosis0.0027546185
Mean14257.97
Median Absolute Deviation (MAD)1208
Skewness0.057665781
Sum470513
Variance3345144.3
MonotonicityNot monotonic
2023-12-11T06:04:07.752184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
14646 2
 
4.3%
13151 2
 
4.3%
15589 2
 
4.3%
15631 1
 
2.1%
11667 1
 
2.1%
11712 1
 
2.1%
11630 1
 
2.1%
17118 1
 
2.1%
18110 1
 
2.1%
18119 1
 
2.1%
Other values (20) 20
42.6%
(Missing) 14
29.8%
ValueCountFrequency (%)
10243 1
2.1%
11630 1
2.1%
11667 1
2.1%
11712 1
2.1%
11946 1
2.1%
12224 1
2.1%
13151 2
4.3%
13153 1
2.1%
13162 1
2.1%
13224 1
2.1%
ValueCountFrequency (%)
18119 1
2.1%
18110 1
2.1%
17118 1
2.1%
15856 1
2.1%
15631 1
2.1%
15589 2
4.3%
15255 1
2.1%
15253 1
2.1%
15250 1
2.1%
15248 1
2.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct31
Distinct (%)96.9%
Missing15
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean37.436851
Minimum37.114631
Maximum37.743702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-11T06:04:07.930754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.114631
5-th percentile37.233058
Q137.344222
median37.433834
Q337.491114
95-th percentile37.718101
Maximum37.743702
Range0.62907138
Interquartile range (IQR)0.14689199

Descriptive statistics

Standard deviation0.15118908
Coefficient of variation (CV)0.0040385096
Kurtosis0.116816
Mean37.436851
Median Absolute Deviation (MAD)0.088320468
Skewness0.36802584
Sum1197.9792
Variance0.022858139
MonotonicityNot monotonic
2023-12-11T06:04:08.074060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
37.4605478734 2
 
4.3%
37.3459331945 1
 
2.1%
37.7437023183 1
 
2.1%
37.7102118951 1
 
2.1%
37.7277433588 1
 
2.1%
37.1146309343 1
 
2.1%
37.1748548963 1
 
2.1%
37.3424122962 1
 
2.1%
37.2966854272 1
 
2.1%
37.3468045077 1
 
2.1%
Other values (21) 21
44.7%
(Missing) 15
31.9%
ValueCountFrequency (%)
37.1146309343 1
2.1%
37.1748548963 1
2.1%
37.2806779541 1
2.1%
37.2966854272 1
2.1%
37.2977427816 1
2.1%
37.3377906152 1
2.1%
37.3424122962 1
2.1%
37.3434863717 1
2.1%
37.3444670673 1
2.1%
37.3450948497 1
2.1%
ValueCountFrequency (%)
37.7437023183 1
2.1%
37.7277433588 1
2.1%
37.7102118951 1
2.1%
37.6928976234 1
2.1%
37.6433282127 1
2.1%
37.5890870245 1
2.1%
37.5186962175 1
2.1%
37.492856815 1
2.1%
37.490532904 1
2.1%
37.4898782054 1
2.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct31
Distinct (%)96.9%
Missing15
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean126.97074
Minimum126.74289
Maximum127.23003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-11T06:04:08.250284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.74289
5-th percentile126.77977
Q1126.82268
median126.97183
Q3127.13867
95-th percentile127.17173
Maximum127.23003
Range0.48714127
Interquartile range (IQR)0.31598957

Descriptive statistics

Standard deviation0.16142995
Coefficient of variation (CV)0.0012713949
Kurtosis-1.7330869
Mean126.97074
Median Absolute Deviation (MAD)0.1532558
Skewness0.11795444
Sum4063.0637
Variance0.026059629
MonotonicityNot monotonic
2023-12-11T06:04:08.385143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
127.1717312787 2
 
4.3%
126.8228101615 1
 
2.1%
127.0364363933 1
 
2.1%
127.0487731985 1
 
2.1%
127.0396225311 1
 
2.1%
127.1505162799 1
 
2.1%
127.056347384 1
 
2.1%
126.8297510125 1
 
2.1%
126.847498572 1
 
2.1%
126.8222829845 1
 
2.1%
Other values (21) 21
44.7%
(Missing) 15
31.9%
ValueCountFrequency (%)
126.7428888199 1
2.1%
126.7641115163 1
2.1%
126.7925824688 1
2.1%
126.7931316066 1
2.1%
126.7979860277 1
2.1%
126.814274503 1
2.1%
126.819656492 1
2.1%
126.8222829845 1
2.1%
126.8228101615 1
2.1%
126.8233539536 1
2.1%
ValueCountFrequency (%)
127.2300300871 1
2.1%
127.1717312787 2
4.3%
127.1660489325 1
2.1%
127.1622785847 1
2.1%
127.1612939462 1
2.1%
127.1505162799 1
2.1%
127.1485477402 1
2.1%
127.1353746714 1
2.1%
127.1261680866 1
2.1%
127.1220123298 1
2.1%

Interactions

2023-12-11T06:04:03.582809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:02.275657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:02.674278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:03.185897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:03.668555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:02.358425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:02.852336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:03.280489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:03.763834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:02.464027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:02.970500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:03.393368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:03.871455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:02.566002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:03.079570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:03.485968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:04:08.496272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명사업장명인허가일자소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
시군명1.0000.9910.0001.0001.0000.9860.9130.923
사업장명0.9911.0000.0000.9570.9861.0000.9751.000
인허가일자0.0000.0001.0000.9170.8200.0000.4600.000
소재지도로명주소1.0000.9570.9171.0001.0001.0001.0001.000
소재지지번주소1.0000.9860.8201.0001.0001.0001.0001.000
소재지우편번호0.9861.0000.0001.0001.0001.0000.9550.948
WGS84위도0.9130.9750.4601.0001.0000.9551.0000.925
WGS84경도0.9231.0000.0001.0001.0000.9480.9251.000
2023-12-11T06:04:08.646631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자소재지우편번호WGS84위도WGS84경도시군명
인허가일자1.000-0.0530.1790.1120.000
소재지우편번호-0.0531.000-0.883-0.3460.933
WGS84위도0.179-0.8831.0000.0780.702
WGS84경도0.112-0.3460.0781.0000.725
시군명0.0000.9330.7020.7251.000

Missing values

2023-12-11T06:04:04.001342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:04:04.137890image/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.
2023-12-11T06:04:04.260932image/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

시군명사업장명인허가일자영업상태명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0고양시프란치스코사회복지회20050705운영중<NA>경기도 고양시 일산서구 탄현동 1485번지1024337.692898126.764112
1고양시사회복지법인 굿네이버스20120329운영중<NA>경기도 고양시 덕양구 행신동<NA><NA><NA>
2과천시천주교수원교구유지재단20100316운영중경기도 과천시 부림3길 6-14경기도 과천시 부림동 31-6번지1383037.438295126.997847
3구리시재)한국기독교청년회YMCA20120717운영중경기도 구리시 벌말로 133-16경기도 구리시 토평동 981-1번지1194637.589087127.148548
4군포시(재)천주교수원교구유지재단20071130운영중경기도 군포시 군포로456번길 19-4경기도 군포시 당동 915-15번지1585637.346736126.945822
5군포시재단법인 우천복지재단20120718운영중<NA>경기도 군포시 산본동<NA><NA><NA>
6김포시재단법인 한국예수회20050401운영중<NA>경기도 김포시 통진읍 마송리 산 134번지<NA><NA><NA>
7남양주시사복)대한불교조계종 사회복지재단20100924운영중경기도 남양주시 평내로14번길 8-4경기도 남양주시 평내동 557-7번지1222437.643328127.23003
8동두천시다비타의 집20061129운영중<NA>경기도 동두천시 광암동<NA><NA><NA>
9부천시재단법인 한국천주교살레시오회20051230운영중경기도 부천시 원미로78번길 47-18경기도 부천시 원미동 189-190번지1464637.489878126.793132
시군명사업장명인허가일자영업상태명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
37오산시노틀담 수녀회20050129운영중<NA>경기도 오산시 청학동 73-18번지18119<NA><NA>
38오산시광야선교회20121210운영중경기도 오산시 수청로 65-8경기도 오산시 내삼미동 858-8번지1811037.174855127.056347
39용인시선한사마리아원20050831운영중경기도 용인시 처인구 남사읍 내기로 14-7경기도 용인시 처인구 남사면 봉무리 442-15번지1711837.114631127.150516
40의정부시사회복지법인 굿네이버스20060724운영중경기도 의정부시 범골로35번길 7경기도 의정부시 호원동 375-1번지1163037.727743127.039623
41의정부시김옥이재단20010701운영중<NA>경기도 의정부시 호원동 457번지1171237.710212127.048773
42의정부시사단법인 청소년문화공동체 십대지기20060518운영중<NA>경기도 의정부시 녹양동<NA><NA><NA>
43의정부시사랑의 집20060518운영중<NA>경기도 의정부시 가능동 369번지 3 3동 106호<NA><NA><NA>
44의정부시사단법인 청소년문화공동체 십대지기20081128운영중경기도 의정부시 호국로1187번길 9경기도 의정부시 가능동 732-6번지1166737.743702127.036436
45파주시사회복지법인 대건 카리타스20111124운영중<NA>경기도 파주시 상지석동<NA><NA><NA>
46파주시프란치스코사회복지회20050104운영중<NA>경기도 파주시 목동동<NA><NA><NA>