Overview

Dataset statistics

Number of variables10
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory89.7 B

Variable types

Text4
Numeric4
DateTime1
Categorical1

Dataset

Description전라남도내 다문화가족지원센터 현황(시설명, 소재지, 전화번호, 우편번호 등)에 관한 데이터를 제공하고 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/3036067/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
새우편번호 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 새우편번호High correlation
시설명 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique
새우편번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:04:41.797068
Analysis finished2023-12-12 05:04:44.144302
Duration2.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T14:04:44.320021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length16.695652
Min length13

Characters and Unicode

Total characters384
Distinct characters49
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row목포시 다문화가족지원센터
2nd row여수시 건강가정다문화가족지원센터
3rd row순천시 건강가정다문화가족지원센터
4th row나주시 건강가정다문화가족지원센터
5th row광양시 건강가정다문화가족지원센터
ValueCountFrequency (%)
건강가정다문화가족지원센터 21
45.7%
목포시 1
 
2.2%
강진군 1
 
2.2%
전남 1
 
2.2%
신안군 1
 
2.2%
진도군 1
 
2.2%
완도군 1
 
2.2%
장성군 1
 
2.2%
영광군 1
 
2.2%
함평군 1
 
2.2%
Other values (16) 16
34.8%
2023-12-12T14:04:44.751991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 44
 
11.5%
화 24
 
6.2%
센 23
 
6.0%
터 23
 
6.0%
23
 
6.0%
다 23
 
6.0%
문 23
 
6.0%
족 23
 
6.0%
지 23
 
6.0%
원 23
 
6.0%
Other values (39) 132
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 361
94.0%
Space Separator 23
 
6.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 44
 
12.2%
화 24
 
6.6%
센 23
 
6.4%
터 23
 
6.4%
다 23
 
6.4%
문 23
 
6.4%
족 23
 
6.4%
지 23
 
6.4%
원 23
 
6.4%
강 22
 
6.1%
Other values (38) 110
30.5%
Space Separator
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 361
94.0%
Common 23
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 44
 
12.2%
화 24
 
6.6%
센 23
 
6.4%
터 23
 
6.4%
다 23
 
6.4%
문 23
 
6.4%
족 23
 
6.4%
지 23
 
6.4%
원 23
 
6.4%
강 22
 
6.1%
Other values (38) 110
30.5%
Common
ValueCountFrequency (%)
23
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 361
94.0%
ASCII 23
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 44
 
12.2%
화 24
 
6.6%
센 23
 
6.4%
터 23
 
6.4%
다 23
 
6.4%
문 23
 
6.4%
족 23
 
6.4%
지 23
 
6.4%
원 23
 
6.4%
강 22
 
6.1%
Other values (38) 110
30.5%
ASCII
ValueCountFrequency (%)
23
100.0%

센터장
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T14:04:44.944896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters69
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st row김지숙
2nd row지미자
3rd row이신숙
4th row하양진
5th row손경화
ValueCountFrequency (%)
정광선 2
 
8.7%
김지숙 1
 
4.3%
지미자 1
 
4.3%
조경순 1
 
4.3%
김해용 1
 
4.3%
이정문 1
 
4.3%
고봉주 1
 
4.3%
김기영 1
 
4.3%
오매자 1
 
4.3%
송영희 1
 
4.3%
Other values (12) 12
52.2%
2023-12-12T14:04:45.335502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
7.2%
박 5
 
7.2%
정 4
 
5.8%
선 4
 
5.8%
이 3
 
4.3%
영 3
 
4.3%
미 3
 
4.3%
지 2
 
2.9%
주 2
 
2.9%
경 2
 
2.9%
Other values (32) 36
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
7.2%
박 5
 
7.2%
정 4
 
5.8%
선 4
 
5.8%
이 3
 
4.3%
영 3
 
4.3%
미 3
 
4.3%
지 2
 
2.9%
주 2
 
2.9%
경 2
 
2.9%
Other values (32) 36
52.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
7.2%
박 5
 
7.2%
정 4
 
5.8%
선 4
 
5.8%
이 3
 
4.3%
영 3
 
4.3%
미 3
 
4.3%
지 2
 
2.9%
주 2
 
2.9%
경 2
 
2.9%
Other values (32) 36
52.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
7.2%
박 5
 
7.2%
정 4
 
5.8%
선 4
 
5.8%
이 3
 
4.3%
영 3
 
4.3%
미 3
 
4.3%
지 2
 
2.9%
주 2
 
2.9%
경 2
 
2.9%
Other values (32) 36
52.2%

소재지
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T14:04:45.643683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length21
Min length15

Characters and Unicode

Total characters483
Distinct characters93
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row전라남도 목포시 산정로 150번길 22
2nd row전라남도 여수시 새터로 33
3rd row전라남도 순천시 중앙로255(순천대평생교육원)
4th row전라남도 나주시 예향로 4075
5th row전라남도 광양시 중마로 410 커뮤니티센터 6층
ValueCountFrequency (%)
전라남도 23
 
20.4%
해남군 2
 
1.8%
해남읍 2
 
1.8%
북부순환로 2
 
1.8%
88(2층 1
 
0.9%
남일길 1
 
0.9%
함평읍 1
 
0.9%
함평군 1
 
0.9%
511 1
 
0.9%
무안로 1
 
0.9%
Other values (78) 78
69.0%
2023-12-12T14:04:46.166428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
18.8%
남 28
 
5.8%
도 28
 
5.8%
전 23
 
4.8%
라 23
 
4.8%
군 18
 
3.7%
1 18
 
3.7%
읍 18
 
3.7%
로 17
 
3.5%
5 11
 
2.3%
Other values (83) 208
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 310
64.2%
Space Separator 91
 
18.8%
Decimal Number 73
 
15.1%
Dash Punctuation 5
 
1.0%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 28
 
9.0%
도 28
 
9.0%
전 23
 
7.4%
라 23
 
7.4%
군 18
 
5.8%
읍 18
 
5.8%
로 17
 
5.5%
길 8
 
2.6%
성 7
 
2.3%
흥 6
 
1.9%
Other values (69) 134
43.2%
Decimal Number
ValueCountFrequency (%)
1 18
24.7%
5 11
15.1%
0 9
12.3%
6 7
 
9.6%
4 7
 
9.6%
2 7
 
9.6%
3 6
 
8.2%
8 4
 
5.5%
7 3
 
4.1%
9 1
 
1.4%
Space Separator
ValueCountFrequency (%)
91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 310
64.2%
Common 173
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 28
 
9.0%
도 28
 
9.0%
전 23
 
7.4%
라 23
 
7.4%
군 18
 
5.8%
읍 18
 
5.8%
로 17
 
5.5%
길 8
 
2.6%
성 7
 
2.3%
흥 6
 
1.9%
Other values (69) 134
43.2%
Common
ValueCountFrequency (%)
91
52.6%
1 18
 
10.4%
5 11
 
6.4%
0 9
 
5.2%
6 7
 
4.0%
4 7
 
4.0%
2 7
 
4.0%
3 6
 
3.5%
- 5
 
2.9%
8 4
 
2.3%
Other values (4) 8
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 310
64.2%
ASCII 173
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
52.6%
1 18
 
10.4%
5 11
 
6.4%
0 9
 
5.2%
6 7
 
4.0%
4 7
 
4.0%
2 7
 
4.0%
3 6
 
3.5%
- 5
 
2.9%
8 4
 
2.3%
Other values (4) 8
 
4.6%
Hangul
ValueCountFrequency (%)
남 28
 
9.0%
도 28
 
9.0%
전 23
 
7.4%
라 23
 
7.4%
군 18
 
5.8%
읍 18
 
5.8%
로 17
 
5.5%
길 8
 
2.6%
성 7
 
2.3%
흥 6
 
1.9%
Other values (69) 134
43.2%

규모(제곱미터)
Real number (ℝ)

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean439.43478
Minimum63
Maximum2134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:04:46.370202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63
5-th percentile67.1
Q1161.5
median246
Q3342.5
95-th percentile1709
Maximum2134
Range2071
Interquartile range (IQR)181

Descriptive statistics

Standard deviation544.31691
Coefficient of variation (CV)1.2386751
Kurtosis4.6104395
Mean439.43478
Median Absolute Deviation (MAD)88
Skewness2.2861422
Sum10107
Variance296280.89
MonotonicityNot monotonic
2023-12-12T14:04:46.500677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
323 2
 
8.7%
711 1
 
4.3%
325 1
 
4.3%
66 1
 
4.3%
89 1
 
4.3%
158 1
 
4.3%
360 1
 
4.3%
523 1
 
4.3%
198 1
 
4.3%
215 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
63 1
4.3%
66 1
4.3%
77 1
4.3%
89 1
4.3%
130 1
4.3%
158 1
4.3%
165 1
4.3%
169 1
4.3%
198 1
4.3%
215 1
4.3%
ValueCountFrequency (%)
2134 1
4.3%
1758 1
4.3%
1268 1
4.3%
711 1
4.3%
523 1
4.3%
360 1
4.3%
325 1
4.3%
323 2
8.7%
302 1
4.3%
264 1
4.3%

개소일
Date

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2006-04-06 00:00:00
Maximum2021-01-01 00:00:00
2023-12-12T14:04:46.622901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:46.746709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

연락처
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T14:04:46.983047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row061-278-4222
2nd row061-692-4174
3rd row061-750-5353
4th row061-331-0709
5th row061-797-6891
ValueCountFrequency (%)
061-278-4222 1
 
4.3%
061-433-9004 1
 
4.3%
061-240-8706 1
 
4.3%
061-544-9993 1
 
4.3%
061-554-3400 1
 
4.3%
061-393-5420 1
 
4.3%
061-353-7997 1
 
4.3%
061-324-5431 1
 
4.3%
061-452-1813 1
 
4.3%
061-463-2928 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T14:04:47.394356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
16.7%
0 42
15.2%
1 36
13.0%
6 32
11.6%
3 26
9.4%
4 20
7.2%
5 19
6.9%
2 15
 
5.4%
7 14
 
5.1%
9 14
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42
18.3%
1 36
15.7%
6 32
13.9%
3 26
11.3%
4 20
8.7%
5 19
8.3%
2 15
 
6.5%
7 14
 
6.1%
9 14
 
6.1%
8 12
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
16.7%
0 42
15.2%
1 36
13.0%
6 32
11.6%
3 26
9.4%
4 20
7.2%
5 19
6.9%
2 15
 
5.4%
7 14
 
5.1%
9 14
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
16.7%
0 42
15.2%
1 36
13.0%
6 32
11.6%
3 26
9.4%
4 20
7.2%
5 19
6.9%
2 15
 
5.4%
7 14
 
5.1%
9 14
 
5.1%

새우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58427.957
Minimum57047
Maximum59685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:04:47.590025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57047
5-th percentile57156.9
Q157706.5
median58524
Q359074.5
95-th percentile59534.2
Maximum59685
Range2638
Interquartile range (IQR)1368

Descriptive statistics

Standard deviation837.95902
Coefficient of variation (CV)0.014341748
Kurtosis-1.281711
Mean58427.957
Median Absolute Deviation (MAD)702
Skewness-0.23604776
Sum1343843
Variance702175.32
MonotonicityNot monotonic
2023-12-12T14:04:47.751914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
58707 1
 
4.3%
59685 1
 
4.3%
59029 1
 
4.3%
58827 1
 
4.3%
58926 1
 
4.3%
59120 1
 
4.3%
57219 1
 
4.3%
57047 1
 
4.3%
57150 1
 
4.3%
58524 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
57047 1
4.3%
57150 1
4.3%
57219 1
4.3%
57335 1
4.3%
57532 1
4.3%
57636 1
4.3%
57777 1
4.3%
57922 1
4.3%
58111 1
4.3%
58263 1
4.3%
ValueCountFrequency (%)
59685 1
4.3%
59543 1
4.3%
59455 1
4.3%
59327 1
4.3%
59226 1
4.3%
59120 1
4.3%
59029 1
4.3%
59024 1
4.3%
58926 1
4.3%
58827 1
4.3%

위도
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.91145
Minimum126.26876
Maximum127.70301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:04:48.012142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.26876
5-th percentile126.3557
Q1126.51392
median126.78468
Q3127.28463
95-th percentile127.65683
Maximum127.70301
Range1.4342449
Interquartile range (IQR)0.77070665

Descriptive statistics

Standard deviation0.44613483
Coefficient of variation (CV)0.0035153238
Kurtosis-1.1037064
Mean126.91145
Median Absolute Deviation (MAD)0.3055455
Skewness0.38728057
Sum2918.9633
Variance0.19903629
MonotonicityNot monotonic
2023-12-12T14:04:48.178153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
126.3941598 1
 
4.3%
127.6753189 1
 
4.3%
127.4904124 1
 
4.3%
126.3514289 1
 
4.3%
126.2687639 1
 
4.3%
126.7487908 1
 
4.3%
126.7846826 1
 
4.3%
126.5128544 1
 
4.3%
126.5149869 1
 
4.3%
126.4791371 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
126.2687639 1
4.3%
126.3514289 1
4.3%
126.3941598 1
4.3%
126.4746414 1
4.3%
126.4791371 1
4.3%
126.5128544 1
4.3%
126.5149869 1
4.3%
126.6099977 1
4.3%
126.7133366 1
4.3%
126.7487908 1
4.3%
ValueCountFrequency (%)
127.7030088 1
4.3%
127.6753189 1
4.3%
127.4904124 1
4.3%
127.4809189 1
4.3%
127.4700112 1
4.3%
127.2898078 1
4.3%
127.2794468 1
4.3%
127.0815384 1
4.3%
126.9807393 1
4.3%
126.9804501 1
4.3%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.894234
Minimum34.316282
Maximum35.324703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T14:04:48.360853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.316282
5-th percentile34.488544
Q134.712088
median34.929628
Q335.064142
95-th percentile35.297464
Maximum35.324703
Range1.0084214
Interquartile range (IQR)0.3520539

Descriptive statistics

Standard deviation0.2783542
Coefficient of variation (CV)0.007977083
Kurtosis-0.64367698
Mean34.894234
Median Absolute Deviation (MAD)0.18096406
Skewness-0.12623111
Sum802.56739
Variance0.077481062
MonotonicityNot monotonic
2023-12-12T14:04:48.532268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
34.80040597 1
 
4.3%
34.75962728 1
 
4.3%
34.92962818 1
 
4.3%
34.8336002 1
 
4.3%
34.47928557 1
 
4.3%
34.31628166 1
 
4.3%
35.29903477 1
 
4.3%
35.27260251 1
 
4.3%
35.06471645 1
 
4.3%
34.98902748 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
34.31628166 1
4.3%
34.47928557 1
4.3%
34.57187283 1
4.3%
34.60173175 1
4.3%
34.6446859 1
4.3%
34.67551209 1
4.3%
34.74866412 1
4.3%
34.75962728 1
4.3%
34.77269477 1
4.3%
34.80040597 1
4.3%
ValueCountFrequency (%)
35.32470304 1
4.3%
35.29903477 1
4.3%
35.28332709 1
4.3%
35.27260251 1
4.3%
35.20659137 1
4.3%
35.06471645 1
4.3%
35.06356755 1
4.3%
35.01655709 1
4.3%
34.98902748 1
4.3%
34.96676448 1
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-08-14
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-14
2nd row2023-08-14
3rd row2023-08-14
4th row2023-08-14
5th row2023-08-14

Common Values

ValueCountFrequency (%)
2023-08-14 23
100.0%

Length

2023-12-12T14:04:48.737266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:04:48.867196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-14 23
100.0%

Interactions

2023-12-12T14:04:43.464439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:42.224369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:42.653145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:43.041018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:43.552852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:42.320557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:42.746603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:43.132329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:43.651857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:42.429475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:42.838608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:43.231286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:43.752658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:42.554063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:42.947169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:43.356465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:04:48.957278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명센터장소재지규모(제곱미터)개소일연락처새우편번호위도경도
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
센터장1.0001.0001.0000.9690.9851.0001.0000.4720.945
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.000
규모(제곱미터)1.0000.9691.0001.0000.9691.0000.3170.3150.000
개소일1.0000.9851.0000.9691.0001.0000.9620.6500.798
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.000
새우편번호1.0001.0001.0000.3170.9621.0001.0000.4600.761
위도1.0000.4721.0000.3150.6501.0000.4601.0000.000
경도1.0000.9451.0000.0000.7981.0000.7610.0001.000
2023-12-12T14:04:49.124529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규모(제곱미터)새우편번호위도경도
규모(제곱미터)1.0000.2640.201-0.265
새우편번호0.2641.0000.080-0.836
위도0.2010.0801.0000.205
경도-0.265-0.8360.2051.000

Missing values

2023-12-12T14:04:43.891844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:04:44.073437image/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

시설명센터장소재지규모(제곱미터)개소일연락처새우편번호위도경도데이터기준일자
0목포시 다문화가족지원센터김지숙전라남도 목포시 산정로 150번길 227112010-03-23061-278-422258707126.3941634.8004062023-08-14
1여수시 건강가정다문화가족지원센터지미자전라남도 여수시 새터로 3312682006-04-18061-692-417459685127.67531934.7596272023-08-14
2순천시 건강가정다문화가족지원센터이신숙전라남도 순천시 중앙로255(순천대평생교육원)3022007-04-17061-750-535357922127.48091934.9667642023-08-14
3나주시 건강가정다문화가족지원센터하양진전라남도 나주시 예향로 40751302007-02-09061-331-070958263126.71333735.0165572023-08-14
4광양시 건강가정다문화가족지원센터손경화전라남도 광양시 중마로 410 커뮤니티센터 6층3232009-03-04061-797-689157777127.70300934.9465042023-08-14
5담양군 건강가정다문화가족지원센터박철웅전라남도 담양군 담양읍 완동길 10-5632010-01-18061-383-365557335126.98073935.3247032023-08-14
6곡성군 건강가정다문화가족지원센터이금주전라남도 곡성군 곡성읍 학정3길 617582009-02-14061-362-541157532127.28980835.2833272023-08-14
7구례군 건강가정다문화가족지원센터김남순전라남도 구례군 구례읍 구례로 508772018-01-01061-781-800357636127.47001135.2065912023-08-14
8고흥군 건강가정다문화가족지원센터박미랑전라남도 고흥군 고흥읍 고흥로 16563232009-02-01061-832-539959543127.27944734.6017322023-08-14
9보성군 건강가정다문화가족지원센터박미선전라남도 보성군 보성읍 동인길 18-62462011-01-01061-852-266459455127.08153834.7726952023-08-14
시설명센터장소재지규모(제곱미터)개소일연락처새우편번호위도경도데이터기준일자
13해남군 건강가정다문화가족지원센터정광선전라남도 해남군 해남읍 북부순환로 103252008-03-10061-534-001759024126.60999834.5718732023-08-14
14영암군 건강가정다문화가족지원센터송영희전라남도 영암군 삼호읍 세가래로 88(2층)1652006-04-06061-463-292858458126.47464134.7486642023-08-14
15무안군 건강가정다문화가족지원센터오매자전라남도 무안군 무안읍 무안로 5111692009-03-11061-452-181358524126.47913734.9890272023-08-14
16함평군 건강가정다문화가족지원센터김기영전라남도 함평군 함평읍 남일길 522152009-01-30061-324-543157150126.51498735.0647162023-08-14
17영광군 건강가정다문화가족지원센터고봉주전라남도 영광군 영광읍 중앙로3길 6-111982009-01-29061-353-799757047126.51285435.2726032023-08-14
18장성군 건강가정다문화가족지원센터이정문전라남도 장성군 장성읍 충무 5길 245232008-01-28061-393-542057219126.78468335.2990352023-08-14
19완도군 건강가정다문화가족지원센터김해용전라남도 완도군 완도읍 개포로 34-103602011-01-01061-554-340059120126.74879134.3162822023-08-14
20진도군 건강가정다문화가족지원센터조경순전라남도 진도군 진도읍 진도대로 71951582011-04-01061-544-999358926126.26876434.4792862023-08-14
21신안군 건강가정다문화가족지원센터박향란전라남도 신안군 압해읍 천사로 1004892014-01-20061-240-870658827126.35142934.83362023-08-14
22전남 다문화가족지원거점센터정광선전라남도 해남군 해남읍 북부순환로 161662021-01-01061-537-001059029127.49041234.9296282023-08-14