Overview

Dataset statistics

Number of variables19
Number of observations64
Missing cells6
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.4 KiB
Average record size in memory167.1 B

Variable types

Numeric8
Boolean3
Categorical5
Text3

Dataset

Description국민연금 장애인활동 지원기관정보입니다. 활동보조급여, 법정동주소, 기관번호, 방문급여 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=122

Alerts

법정동주소광역시도코드 has constant value ""Constant
수집년도 has constant value ""Constant
수집월 has constant value ""Constant
기관지역팩스번호 is highly overall correlated with 기관국번팩스번호 and 1 other fieldsHigh correlation
기관지역전화번호 is highly overall correlated with 기관지역팩스번호High correlation
번호 is highly overall correlated with 법정동주소시군구코드High correlation
법정동주소시군구코드 is highly overall correlated with 번호High correlation
기관국번팩스번호 is highly overall correlated with 기관국번전화번호 and 1 other fieldsHigh correlation
기관국번전화번호 is highly overall correlated with 기관국번팩스번호High correlation
기관개별팩스번호 is highly overall correlated with 기관개별전화번호High correlation
기관개별전화번호 is highly overall correlated with 기관개별팩스번호High correlation
기관지역팩스번호 is highly imbalanced (78.4%)Imbalance
기관지역전화번호 is highly imbalanced (79.9%)Imbalance
방문간호급여여부 is highly imbalanced (66.3%)Imbalance
기관도로명상세주소 has 6 (9.4%) missing valuesMissing
번호 has unique valuesUnique
데이터번호 has unique valuesUnique
기관개별전화번호 has unique valuesUnique
기관명 has unique valuesUnique
법정동주소읍명동코드 has 1 (1.6%) zerosZeros

Reproduction

Analysis started2024-01-09 20:54:59.541524
Analysis finished2024-01-09 20:55:05.946581
Duration6.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-01-10T05:55:06.009591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.15
Q116.75
median32.5
Q348.25
95-th percentile60.85
Maximum64
Range63
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation18.618987
Coefficient of variation (CV)0.5728919
Kurtosis-1.2
Mean32.5
Median Absolute Deviation (MAD)16
Skewness0
Sum2080
Variance346.66667
MonotonicityStrictly increasing
2024-01-10T05:55:06.141716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
34 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
43 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
64 1
1.6%
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%

데이터번호
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean627.6875
Minimum43
Maximum1071
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-01-10T05:55:06.270465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile67.3
Q1313.5
median631.5
Q3963.25
95-th percentile1062.95
Maximum1071
Range1028
Interquartile range (IQR)649.75

Descriptive statistics

Standard deviation340.12275
Coefficient of variation (CV)0.54186638
Kurtosis-1.3310634
Mean627.6875
Median Absolute Deviation (MAD)331
Skewness-0.28579572
Sum40172
Variance115683.49
MonotonicityNot monotonic
2024-01-10T05:55:06.393019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
975 1
 
1.6%
343 1
 
1.6%
55 1
 
1.6%
837 1
 
1.6%
878 1
 
1.6%
963 1
 
1.6%
965 1
 
1.6%
450 1
 
1.6%
1057 1
 
1.6%
449 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
43 1
1.6%
55 1
1.6%
66 1
1.6%
67 1
1.6%
69 1
1.6%
70 1
1.6%
71 1
1.6%
140 1
1.6%
181 1
1.6%
197 1
1.6%
ValueCountFrequency (%)
1071 1
1.6%
1070 1
1.6%
1069 1
1.6%
1064 1
1.6%
1057 1
1.6%
1021 1
1.6%
985 1
1.6%
984 1
1.6%
979 1
1.6%
976 1
1.6%
Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size196.0 B
True
46 
False
18 
ValueCountFrequency (%)
True 46
71.9%
False 18
 
28.1%
2024-01-10T05:55:06.503062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

법정동주소광역시도코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
44
64 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44
2nd row44
3rd row44
4th row44
5th row44

Common Values

ValueCountFrequency (%)
44 64
100.0%

Length

2024-01-10T05:55:06.619751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:55:06.724816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44 64
100.0%

법정동주소시군구코드
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean463.75
Minimum131
Maximum830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-01-10T05:55:06.802510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131
5-th percentile133
Q1180
median260
Q3790
95-th percentile822.75
Maximum830
Range699
Interquartile range (IQR)610

Descriptive statistics

Standard deviation301.5607
Coefficient of variation (CV)0.65026567
Kurtosis-1.9733281
Mean463.75
Median Absolute Deviation (MAD)127
Skewness0.11841372
Sum29680
Variance90938.857
MonotonicityIncreasing
2024-01-10T05:55:06.938537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
133 8
12.5%
710 6
 
9.4%
800 6
 
9.4%
180 5
 
7.8%
210 5
 
7.8%
810 5
 
7.8%
150 4
 
6.2%
230 4
 
6.2%
200 3
 
4.7%
760 3
 
4.7%
Other values (7) 15
23.4%
ValueCountFrequency (%)
131 1
 
1.6%
133 8
12.5%
150 4
6.2%
180 5
7.8%
200 3
 
4.7%
210 5
7.8%
230 4
6.2%
250 2
 
3.1%
270 2
 
3.1%
710 6
9.4%
ValueCountFrequency (%)
830 1
 
1.6%
825 3
4.7%
810 5
7.8%
800 6
9.4%
790 3
4.7%
770 3
4.7%
760 3
4.7%
710 6
9.4%
270 2
 
3.1%
250 2
 
3.1%

법정동주소읍명동코드
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209.65625
Minimum0
Maximum410
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-01-10T05:55:07.069030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile101.15
Q1105
median250
Q3250.75
95-th percentile385.5
Maximum410
Range410
Interquartile range (IQR)145.75

Descriptive statistics

Standard deviation97.516009
Coefficient of variation (CV)0.46512331
Kurtosis-0.93450357
Mean209.65625
Median Absolute Deviation (MAD)85
Skewness0.064999382
Sum13418
Variance9509.372
MonotonicityNot monotonic
2024-01-10T05:55:07.172069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
250 23
35.9%
253 5
 
7.8%
102 5
 
7.8%
110 3
 
4.7%
105 3
 
4.7%
101 3
 
4.7%
390 3
 
4.7%
104 3
 
4.7%
103 3
 
4.7%
107 2
 
3.1%
Other values (10) 11
17.2%
ValueCountFrequency (%)
0 1
 
1.6%
101 3
4.7%
102 5
7.8%
103 3
4.7%
104 3
4.7%
105 3
4.7%
106 1
 
1.6%
107 2
 
3.1%
109 1
 
1.6%
110 3
4.7%
ValueCountFrequency (%)
410 1
 
1.6%
390 3
 
4.7%
360 1
 
1.6%
350 1
 
1.6%
340 1
 
1.6%
330 1
 
1.6%
315 1
 
1.6%
310 2
 
3.1%
253 5
 
7.8%
250 23
35.9%

기관국번팩스번호
Real number (ℝ)

HIGH CORRELATION 

Distinct49
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean785.46875
Minimum331
Maximum7344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-01-10T05:55:07.283025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331
5-th percentile334.6
Q1564
median673.5
Q3844.25
95-th percentile949.8
Maximum7344
Range7013
Interquartile range (IQR)280.25

Descriptive statistics

Standard deviation853.91254
Coefficient of variation (CV)1.0871375
Kurtosis57.622395
Mean785.46875
Median Absolute Deviation (MAD)126.5
Skewness7.4000175
Sum50270
Variance729166.63
MonotonicityNot monotonic
2024-01-10T05:55:07.431779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
751 3
 
4.7%
753 2
 
3.1%
668 2
 
3.1%
631 2
 
3.1%
953 2
 
3.1%
934 2
 
3.1%
733 2
 
3.1%
734 2
 
3.1%
331 2
 
3.1%
858 2
 
3.1%
Other values (39) 43
67.2%
ValueCountFrequency (%)
331 2
3.1%
332 1
1.6%
334 1
1.6%
338 1
1.6%
355 2
3.1%
363 1
1.6%
413 1
1.6%
417 1
1.6%
542 1
1.6%
545 1
1.6%
ValueCountFrequency (%)
7344 1
1.6%
953 2
3.1%
951 1
1.6%
943 1
1.6%
942 2
3.1%
936 1
1.6%
935 1
1.6%
934 2
3.1%
933 1
1.6%
881 1
1.6%

기관국번전화번호
Real number (ℝ)

HIGH CORRELATION 

Distinct50
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean680
Minimum330
Maximum953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-01-10T05:55:07.552166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330
5-th percentile333.75
Q1562
median671
Q3838
95-th percentile942.85
Maximum953
Range623
Interquartile range (IQR)276

Descriptive statistics

Standard deviation188.69796
Coefficient of variation (CV)0.277497
Kurtosis-0.74028655
Mean680
Median Absolute Deviation (MAD)121
Skewness-0.3040493
Sum43520
Variance35606.921
MonotonicityNot monotonic
2024-01-10T05:55:07.672909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
751 4
 
6.2%
631 3
 
4.7%
934 2
 
3.1%
942 2
 
3.1%
564 2
 
3.1%
753 2
 
3.1%
674 2
 
3.1%
733 2
 
3.1%
836 2
 
3.1%
634 2
 
3.1%
Other values (40) 41
64.1%
ValueCountFrequency (%)
330 1
1.6%
331 1
1.6%
332 1
1.6%
333 1
1.6%
338 1
1.6%
358 1
1.6%
360 1
1.6%
363 1
1.6%
413 1
1.6%
417 1
1.6%
ValueCountFrequency (%)
953 1
1.6%
951 1
1.6%
950 1
1.6%
943 1
1.6%
942 2
3.1%
936 2
3.1%
934 2
3.1%
933 1
1.6%
881 1
1.6%
858 1
1.6%

기관개별팩스번호
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4222.9375
Minimum31
Maximum9980
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-01-10T05:55:07.793713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile279.85
Q11742
median3776
Q36660
95-th percentile8476.6
Maximum9980
Range9949
Interquartile range (IQR)4918

Descriptive statistics

Standard deviation2871.514
Coefficient of variation (CV)0.67998022
Kurtosis-1.2737001
Mean4222.9375
Median Absolute Deviation (MAD)2454.5
Skewness0.21643534
Sum270268
Variance8245592.4
MonotonicityNot monotonic
2024-01-10T05:55:07.915791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5880 2
 
3.1%
7077 1
 
1.6%
2168 1
 
1.6%
7408 1
 
1.6%
1216 1
 
1.6%
7897 1
 
1.6%
5901 1
 
1.6%
3506 1
 
1.6%
7756 1
 
1.6%
2160 1
 
1.6%
Other values (53) 53
82.8%
ValueCountFrequency (%)
31 1
1.6%
84 1
1.6%
86 1
1.6%
268 1
1.6%
347 1
1.6%
615 1
1.6%
694 1
1.6%
939 1
1.6%
1063 1
1.6%
1125 1
1.6%
ValueCountFrequency (%)
9980 1
1.6%
9492 1
1.6%
9279 1
1.6%
8512 1
1.6%
8276 1
1.6%
7897 1
1.6%
7873 1
1.6%
7827 1
1.6%
7757 1
1.6%
7756 1
1.6%

기관개별전화번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4314.4219
Minimum64
Maximum9990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-01-10T05:55:08.044338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64
5-th percentile338.95
Q11507.5
median3383
Q37225.75
95-th percentile9466.55
Maximum9990
Range9926
Interquartile range (IQR)5718.25

Descriptive statistics

Standard deviation3125.1883
Coefficient of variation (CV)0.72435854
Kurtosis-1.39912
Mean4314.4219
Median Absolute Deviation (MAD)2411
Skewness0.31578103
Sum276123
Variance9766802.2
MonotonicityNot monotonic
2024-01-10T05:55:08.164938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7070 1
 
1.6%
5967 1
 
1.6%
2269 1
 
1.6%
1550 1
 
1.6%
1213 1
 
1.6%
7887 1
 
1.6%
5900 1
 
1.6%
3606 1
 
1.6%
7757 1
 
1.6%
2157 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
64 1
1.6%
86 1
1.6%
267 1
1.6%
337 1
1.6%
350 1
1.6%
691 1
1.6%
1061 1
1.6%
1130 1
1.6%
1141 1
1.6%
1164 1
1.6%
ValueCountFrequency (%)
9990 1
1.6%
9957 1
1.6%
9700 1
1.6%
9500 1
1.6%
9277 1
1.6%
9020 1
1.6%
8509 1
1.6%
8286 1
1.6%
7887 1
1.6%
7871 1
1.6%
Distinct55
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-01-10T05:55:08.659495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length12.859375
Min length6

Characters and Unicode

Total characters823
Distinct characters102
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

Unique49 ?
Unique (%)76.6%

Sample

1st row충남 천안시 동남구 삼룡동
2nd row충남 천안시 서북구 성정동
3rd row충남 천안시 서북구 백석동
4th row충남 천안시 서북구 백석동
5th row충남 천안시 서북구 백석동
ValueCountFrequency (%)
충남 63
26.5%
천안시 9
 
3.8%
서북구 8
 
3.4%
금산읍 6
 
2.5%
금산군 6
 
2.5%
홍성군 6
 
2.5%
홍성읍 5
 
2.1%
서산시 5
 
2.1%
예산군 5
 
2.1%
보령시 5
 
2.1%
Other values (92) 120
50.4%
2024-01-10T05:55:09.023864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
174
21.1%
66
 
8.0%
63
 
7.7%
38
 
4.6%
37
 
4.5%
35
 
4.3%
30
 
3.6%
30
 
3.6%
29
 
3.5%
20
 
2.4%
Other values (92) 301
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 649
78.9%
Space Separator 174
 
21.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
66
 
10.2%
63
 
9.7%
38
 
5.9%
37
 
5.7%
35
 
5.4%
30
 
4.6%
30
 
4.6%
29
 
4.5%
20
 
3.1%
17
 
2.6%
Other values (91) 284
43.8%
Space Separator
ValueCountFrequency (%)
174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 649
78.9%
Common 174
 
21.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
66
 
10.2%
63
 
9.7%
38
 
5.9%
37
 
5.7%
35
 
5.4%
30
 
4.6%
30
 
4.6%
29
 
4.5%
20
 
3.1%
17
 
2.6%
Other values (91) 284
43.8%
Common
ValueCountFrequency (%)
174
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 649
78.9%
ASCII 174
 
21.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
174
100.0%
Hangul
ValueCountFrequency (%)
66
 
10.2%
63
 
9.7%
38
 
5.9%
37
 
5.7%
35
 
5.4%
30
 
4.6%
30
 
4.6%
29
 
4.5%
20
 
3.1%
17
 
2.6%
Other values (91) 284
43.8%

기관명
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-01-10T05:55:09.225856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length11.671875
Min length3

Characters and Unicode

Total characters747
Distinct characters131
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

Unique64 ?
Unique (%)100.0%

Sample

1st row충청남도시각장애인복지관
2nd row천안돌봄사회서비스센터
3rd row다함장애인자립생활센터
4th row사)충남여성장애인연대
5th row사)한국곰두리봉사회충남지부
ValueCountFrequency (%)
사단법인 3
 
3.8%
사)한국지체장애인협회 2
 
2.5%
충청남도시각장애인복지관 1
 
1.2%
정산요양센터 1
 
1.2%
정산요양원 1
 
1.2%
카네이션노인요양기관 1
 
1.2%
서천군장애인종합복지관 1
 
1.2%
장수노인복지센터 1
 
1.2%
서천군지회 1
 
1.2%
사)충청남도시각장애인연합회 1
 
1.2%
Other values (67) 67
83.8%
2024-01-10T05:55:09.561878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
6.6%
42
 
5.6%
33
 
4.4%
31
 
4.1%
31
 
4.1%
30
 
4.0%
28
 
3.7%
23
 
3.1%
22
 
2.9%
22
 
2.9%
Other values (121) 436
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 712
95.3%
Space Separator 16
 
2.1%
Close Punctuation 12
 
1.6%
Open Punctuation 7
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
49
 
6.9%
42
 
5.9%
33
 
4.6%
31
 
4.4%
31
 
4.4%
30
 
4.2%
28
 
3.9%
23
 
3.2%
22
 
3.1%
22
 
3.1%
Other values (118) 401
56.3%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 712
95.3%
Common 35
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
49
 
6.9%
42
 
5.9%
33
 
4.6%
31
 
4.4%
31
 
4.4%
30
 
4.2%
28
 
3.9%
23
 
3.2%
22
 
3.1%
22
 
3.1%
Other values (118) 401
56.3%
Common
ValueCountFrequency (%)
16
45.7%
) 12
34.3%
( 7
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 712
95.3%
ASCII 35
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
49
 
6.9%
42
 
5.9%
33
 
4.6%
31
 
4.4%
31
 
4.4%
30
 
4.2%
28
 
3.9%
23
 
3.2%
22
 
3.1%
22
 
3.1%
Other values (118) 401
56.3%
ASCII
ValueCountFrequency (%)
16
45.7%
) 12
34.3%
( 7
20.0%

기관지역팩스번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
41
60 
42
 
2
43
 
1
70
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)3.1%

Sample

1st row41
2nd row41
3rd row41
4th row41
5th row41

Common Values

ValueCountFrequency (%)
41 60
93.8%
42 2
 
3.1%
43 1
 
1.6%
70 1
 
1.6%

Length

2024-01-10T05:55:09.687799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:55:09.776898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41 60
93.8%
42 2
 
3.1%
43 1
 
1.6%
70 1
 
1.6%

기관지역전화번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
41
62 
42
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41
2nd row41
3rd row41
4th row41
5th row41

Common Values

ValueCountFrequency (%)
41 62
96.9%
42 2
 
3.1%

Length

2024-01-10T05:55:09.865472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:55:09.949481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41 62
96.9%
42 2
 
3.1%
Distinct58
Distinct (%)100.0%
Missing6
Missing (%)9.4%
Memory size644.0 B
2024-01-10T05:55:10.227208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length29
Mean length22.327586
Min length1

Characters and Unicode

Total characters1295
Distinct characters153
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

Unique58 ?
Unique (%)100.0%

Sample

1st row충청남도 천안시 동남구 충절로 535-13 (삼룡동)
2nd row충청남도 천안시 서북구 성정두정로 12 (성정동)
3rd row충청남도 천안시 서북구 번영로 208 (백석동 종합운동자 주경기장 내)
4th row충청남도 천안시 서북구 번영로 208 (백석동 종합운동장 주 경기장내)
5th row충청남도 천안시 서북구 백석5길 24-2 3층 (백석동)
ValueCountFrequency (%)
충청남도 56
 
19.2%
천안시 8
 
2.7%
서북구 7
 
2.4%
금산군 6
 
2.1%
예산군 4
 
1.4%
서산시 4
 
1.4%
홍성군 4
 
1.4%
공주시 4
 
1.4%
논산시 4
 
1.4%
청양군 3
 
1.0%
Other values (161) 191
65.6%
2024-01-10T05:55:10.635002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
233
 
18.0%
65
 
5.0%
60
 
4.6%
58
 
4.5%
56
 
4.3%
40
 
3.1%
36
 
2.8%
1 34
 
2.6%
30
 
2.3%
2 30
 
2.3%
Other values (143) 653
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 802
61.9%
Space Separator 233
 
18.0%
Decimal Number 197
 
15.2%
Close Punctuation 26
 
2.0%
Open Punctuation 26
 
2.0%
Dash Punctuation 10
 
0.8%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
65
 
8.1%
60
 
7.5%
58
 
7.2%
56
 
7.0%
40
 
5.0%
36
 
4.5%
30
 
3.7%
28
 
3.5%
26
 
3.2%
24
 
3.0%
Other values (128) 379
47.3%
Decimal Number
ValueCountFrequency (%)
1 34
17.3%
2 30
15.2%
3 22
11.2%
0 20
10.2%
4 20
10.2%
7 20
10.2%
5 15
7.6%
6 14
7.1%
8 13
 
6.6%
9 9
 
4.6%
Space Separator
ValueCountFrequency (%)
233
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 802
61.9%
Common 492
38.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
65
 
8.1%
60
 
7.5%
58
 
7.2%
56
 
7.0%
40
 
5.0%
36
 
4.5%
30
 
3.7%
28
 
3.5%
26
 
3.2%
24
 
3.0%
Other values (128) 379
47.3%
Common
ValueCountFrequency (%)
233
47.4%
1 34
 
6.9%
2 30
 
6.1%
) 26
 
5.3%
( 26
 
5.3%
3 22
 
4.5%
0 20
 
4.1%
4 20
 
4.1%
7 20
 
4.1%
5 15
 
3.0%
Other values (4) 46
 
9.3%
Latin
ValueCountFrequency (%)
J 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 802
61.9%
ASCII 493
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
233
47.3%
1 34
 
6.9%
2 30
 
6.1%
) 26
 
5.3%
( 26
 
5.3%
3 22
 
4.5%
0 20
 
4.1%
4 20
 
4.1%
7 20
 
4.1%
5 15
 
3.0%
Other values (5) 47
 
9.5%
Hangul
ValueCountFrequency (%)
65
 
8.1%
60
 
7.5%
58
 
7.2%
56
 
7.0%
40
 
5.0%
36
 
4.5%
30
 
3.7%
28
 
3.5%
26
 
3.2%
24
 
3.0%
Other values (128) 379
47.3%
Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size196.0 B
False
47 
True
17 
ValueCountFrequency (%)
False 47
73.4%
True 17
 
26.6%
2024-01-10T05:55:10.746971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

방문간호급여여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size196.0 B
False
60 
True
 
4
ValueCountFrequency (%)
False 60
93.8%
True 4
 
6.2%
2024-01-10T05:55:10.830677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

수집년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
2021
64 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 64
100.0%

Length

2024-01-10T05:55:10.916253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:55:10.999593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 64
100.0%

수집월
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
6
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row6
3rd row6
4th row6
5th row6

Common Values

ValueCountFrequency (%)
6 64
100.0%

Length

2024-01-10T05:55:11.079704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:55:11.155537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 64
100.0%

Interactions

2024-01-10T05:55:04.950387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:00.248627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:00.805360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:01.354338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:02.039589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:02.730363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:03.453954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:04.292016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:05.046388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:00.319565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:00.873292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:01.429734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:02.130605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:02.826565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:03.528483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:04.357229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:05.127271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:00.386574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:00.940357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:01.501414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:02.210472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:02.913232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:03.596494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:04.427088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:05.203516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:00.462375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:01.011769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:01.586594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:02.299448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:03.011978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:03.675023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:04.521292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:05.267646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:00.524814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:01.077372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:01.658614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:02.377848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:03.094890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:03.742493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:04.605439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:05.341613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:00.598041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:01.149673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:01.760725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:02.472204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:03.189507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:03.839817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:04.697009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:05.416017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:00.669278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:01.221977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:01.852177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:02.560270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:03.280886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:03.920423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:04.787133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:05.502912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:00.735951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:01.287389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:01.941344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:02.642015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:03.370468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:03.988354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:55:04.867678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:55:11.219047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호데이터번호활동보조급여여부법정동주소시군구코드법정동주소읍명동코드기관국번팩스번호기관국번전화번호기관개별팩스번호기관개별전화번호기관지번상세주소기관명기관지역팩스번호기관지역전화번호기관도로명상세주소방문목욕급여여부방문간호급여여부
번호1.0000.5790.3670.9430.5570.2880.8090.0000.0001.0001.0000.4360.5781.0000.3280.000
데이터번호0.5791.0000.1100.5680.5220.0000.0000.0000.4940.8621.0000.1510.4951.0000.0000.574
활동보조급여여부0.3670.1101.0000.4150.1060.0000.3880.3180.3980.5041.0000.3300.0001.0000.6320.240
법정동주소시군구코드0.9430.5680.4151.0000.5900.0000.8890.0000.0001.0001.0000.3190.4271.0000.0880.000
법정동주소읍명동코드0.5570.5220.1060.5901.0000.0000.4090.0000.0001.0001.0000.3850.4171.0000.0810.000
기관국번팩스번호0.2880.0000.0000.0000.0001.0000.2760.0000.0001.0001.0001.0000.0001.0000.0000.000
기관국번전화번호0.8090.0000.3880.8890.4090.2761.0000.2030.0991.0001.0000.0000.0001.0000.0000.000
기관개별팩스번호0.0000.0000.3180.0000.0000.0000.2031.0000.9810.8821.0000.5910.4101.0000.5130.000
기관개별전화번호0.0000.4940.3980.0000.0000.0000.0990.9811.0000.8921.0000.0000.0001.0000.4500.294
기관지번상세주소1.0000.8620.5041.0001.0001.0001.0000.8820.8921.0001.0001.0001.0001.0000.9411.000
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
기관지역팩스번호0.4360.1510.3300.3190.3851.0000.0000.5910.0001.0001.0001.0001.0001.0000.3500.000
기관지역전화번호0.5780.4950.0000.4270.4170.0000.0000.4100.0001.0001.0001.0001.0001.0000.0000.000
기관도로명상세주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
방문목욕급여여부0.3280.0000.6320.0880.0810.0000.0000.5130.4500.9411.0000.3500.0001.0001.0000.000
방문간호급여여부0.0000.5740.2400.0000.0000.0000.0000.0000.2941.0001.0000.0000.0001.0000.0001.000
2024-01-10T05:55:11.357118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문목욕급여여부기관지역팩스번호활동보조급여여부기관지역전화번호방문간호급여여부
방문목욕급여여부1.0000.2280.4350.0000.000
기관지역팩스번호0.2281.0000.2150.9840.000
활동보조급여여부0.4350.2151.0000.0000.153
기관지역전화번호0.0000.9840.0001.0000.000
방문간호급여여부0.0000.0000.1530.0001.000
2024-01-10T05:55:11.453837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호데이터번호법정동주소시군구코드법정동주소읍명동코드기관국번팩스번호기관국번전화번호기관개별팩스번호기관개별전화번호활동보조급여여부기관지역팩스번호기관지역전화번호방문목욕급여여부방문간호급여여부
번호1.0000.2900.9970.457-0.010-0.046-0.108-0.1020.2590.2570.4140.2310.000
데이터번호0.2901.0000.2810.028-0.039-0.0830.0500.0980.0630.0720.3530.0000.411
법정동주소시군구코드0.9970.2811.0000.420-0.011-0.045-0.119-0.1100.2750.1270.2830.0760.000
법정동주소읍명동코드0.4570.0280.4201.0000.2300.2190.107-0.0580.0650.2510.2890.0440.000
기관국번팩스번호-0.010-0.039-0.0110.2301.0000.9630.0720.1000.0000.9840.0000.0000.000
기관국번전화번호-0.046-0.083-0.0450.2190.9631.0000.0850.1070.2440.0000.0000.0000.000
기관개별팩스번호-0.1080.050-0.1190.1070.0720.0851.0000.8250.2230.3730.2900.3660.000
기관개별전화번호-0.1020.098-0.110-0.0580.1000.1070.8251.0000.2820.0000.0000.3200.205
활동보조급여여부0.2590.0630.2750.0650.0000.2440.2230.2821.0000.2150.0000.4350.153
기관지역팩스번호0.2570.0720.1270.2510.9840.0000.3730.0000.2151.0000.9840.2280.000
기관지역전화번호0.4140.3530.2830.2890.0000.0000.2900.0000.0000.9841.0000.0000.000
방문목욕급여여부0.2310.0000.0760.0440.0000.0000.3660.3200.4350.2280.0001.0000.000
방문간호급여여부0.0000.4110.0000.0000.0000.0000.0000.2050.1530.0000.0000.0001.000

Missing values

2024-01-10T05:55:05.651774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:55:05.858717image/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

번호데이터번호활동보조급여여부법정동주소광역시도코드법정동주소시군구코드법정동주소읍명동코드기관국번팩스번호기관국번전화번호기관개별팩스번호기관개별전화번호기관지번상세주소기관명기관지역팩스번호기관지역전화번호기관도로명상세주소방문목욕급여여부방문간호급여여부수집년도수집월
01975Y4413111041341370777070충남 천안시 동남구 삼룡동충청남도시각장애인복지관4141충청남도 천안시 동남구 충절로 535-13 (삼룡동)NN20216
12945Y44133102573564615350충남 천안시 서북구 성정동천안돌봄사회서비스센터4141충청남도 천안시 서북구 성정두정로 12 (성정동)NN20216
23317Y4413310356456458805883충남 천안시 서북구 백석동다함장애인자립생활센터4141충청남도 천안시 서북구 번영로 208 (백석동 종합운동자 주경기장 내)NN20216
34490Y4413310356456858807060충남 천안시 서북구 백석동사)충남여성장애인연대4141충청남도 천안시 서북구 번영로 208 (백석동 종합운동장 주 경기장내)NN20216
45493Y4413310355655610631061충남 천안시 서북구 백석동사)한국곰두리봉사회충남지부4141충청남도 천안시 서북구 백석5길 24-2 3층 (백석동)NN20216
56964Y4413310441741760046000충남 천안시 서북구 두정동충남중증장애인자립생활센터4141충청남도 천안시 서북구 오성로 107 5층 504호 (두정동 J파크프라자)NN20216
67967N4413310757957916761675충남 천안시 서북구 쌍용동충무노인복지센터4141<NA>NY20216
7867N4413325058555562856287충남 천안시 서북구 성환읍 성월리(사)충남장애인부모회천안지회4141충청남도 천안시 서북구 성진로 4NN20216
89546Y4413325362262278737871충남 천안시 서북구 성거읍 천흥리사랑나눔복지센터4141충청남도 천안시 서북구 성거읍 천흥4길 72-7YN20216
910197Y441501018588588464충남 공주시 반죽동공주지역자활센터4141충청남도 공주시 장기면 무령로 204 (반죽동)NN20216
번호데이터번호활동보조급여여부법정동주소광역시도코드법정동주소시군구코드법정동주소읍명동코드기관국번팩스번호기관국번전화번호기관개별팩스번호기관개별전화번호기관지번상세주소기관명기관지역팩스번호기관지역전화번호기관도로명상세주소방문목욕급여여부방문간호급여여부수집년도수집월
5455271N4480025364264211621164충남 홍성군 광천읍 신진리나눔재가노인복지센터4141충청남도 홍성군 광천로 340YN20216
5556962N44810033133154145402충남 예산군충남예산지역자활센터4141<NA>NN20216
5657764N4481025033233220062007충남 예산군 예산읍 예산리예산노인복지센터4141충청남도 예산군 임성로7번길 2-2NY20216
575871Y4481025333833817641769충남 예산군 삽교읍 목리(사)충청남도장애인부모회4141충청남도 예산군 삽교읍 청사로 217 403호 (엔젤스타워)NN20216
58591064N4481035033133330041177충남 예산군 응봉면 건지화리현대실버재가노인복지센터4141충청남도 예산군 건지화1길 16YN20216
5960763Y4481039033433065219020충남 예산군 신암면 신택리예산군장애인종합복지관4141충청남도 예산군 신암면 추사고택로 496NN20216
6061984Y4482525067467474177412충남 태안군 태안읍 남문리태안군장애인복지관4141충청남도 태안군 군청6길 30NN20216
6162985Y4482525067467413761378충남 태안군 태안읍 남문리태안지역자활센터4141충청남도 태안군 군청2길 2NN20216
6263140N4482525367367319771977충남 태안군 안면읍 승언리강재수4141충청남도 태안군 장터로 94-11YN20216
6364976Y4483025035535894929700충남 당진군 당진읍 채운리충청남도지체장애인협회 당진군지회4141<NA>NN20216