Overview

Dataset statistics

Number of variables12
Number of observations196
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.1 KiB
Average record size in memory99.7 B

Variable types

Categorical4
Text5
Numeric3

Dataset

Description경기도_시군별 장애인활동 지원 기관 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=67DM94K7K70N1WONN5UK25595134&infSeq=1

Alerts

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
활동보조급여구분명 is highly overall correlated with 방문목욕급여구분명High correlation
방문목욕급여구분명 is highly overall correlated with 활동보조급여구분명High correlation
방문간호급여구분명 is highly imbalanced (62.9%)Imbalance

Reproduction

Analysis started2024-03-12 23:11:40.263568
Analysis finished2024-03-12 23:11:41.564432
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
파주시
 
11
수원시
 
11
용인시
 
11
성남시
 
10
고양시
 
10
Other values (26)
143 

Length

Max length4
Median length3
Mean length3.0918367
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row가평군
3rd row고양시
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
파주시 11
 
5.6%
수원시 11
 
5.6%
용인시 11
 
5.6%
성남시 10
 
5.1%
고양시 10
 
5.1%
안산시 9
 
4.6%
광주시 9
 
4.6%
김포시 9
 
4.6%
부천시 9
 
4.6%
화성시 8
 
4.1%
Other values (21) 99
50.5%

Length

2024-03-13T08:11:41.627891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
파주시 11
 
5.6%
용인시 11
 
5.6%
수원시 11
 
5.6%
성남시 10
 
5.1%
고양시 10
 
5.1%
안산시 9
 
4.6%
광주시 9
 
4.6%
김포시 9
 
4.6%
부천시 9
 
4.6%
화성시 8
 
4.1%
Other values (21) 99
50.5%

기관명
Text

Distinct195
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-13T08:11:41.799056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length12.035714
Min length2

Characters and Unicode

Total characters2359
Distinct characters219
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)99.0%

Sample

1st row재단법인 가평군복지재단(가평군장애인복지관)
2nd row재단법인 가평군복지재단(청평노인복지관)
3rd row경기도자립지원센터
4th row고양밀알선교단
5th row굿피플주식회사
ValueCountFrequency (%)
사회적협동조합 13
 
4.9%
장애인활동지원센터 4
 
1.5%
사)경기도시각장애인연합회 4
 
1.5%
사단법인 4
 
1.5%
다사랑실버케어 3
 
1.1%
경기도지적발달장애인복지협회 3
 
1.1%
재단법인 3
 
1.1%
사)한국장애인부모회 3
 
1.1%
용인도우누리 2
 
0.7%
사회복지법인 2
 
0.7%
Other values (222) 226
84.6%
2024-03-13T08:11:42.108834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 133
 
5.6%
지 122
 
5.2%
애 104
 
4.4%
장 104
 
4.4%
터 100
 
4.2%
센 98
 
4.2%
71
 
3.0%
복 69
 
2.9%
활 67
 
2.8%
회 61
 
2.6%
Other values (209) 1430
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2241
95.0%
Space Separator 71
 
3.0%
Close Punctuation 16
 
0.7%
Open Punctuation 10
 
0.4%
Decimal Number 9
 
0.4%
Other Symbol 8
 
0.3%
Uppercase Letter 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 133
 
5.9%
지 122
 
5.4%
애 104
 
4.6%
장 104
 
4.6%
터 100
 
4.5%
센 98
 
4.4%
복 69
 
3.1%
활 67
 
3.0%
회 61
 
2.7%
사 60
 
2.7%
Other values (198) 1323
59.0%
Decimal Number
ValueCountFrequency (%)
1 6
66.7%
9 2
 
22.2%
4 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
Y 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2249
95.3%
Common 107
 
4.5%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 133
 
5.9%
지 122
 
5.4%
애 104
 
4.6%
장 104
 
4.6%
터 100
 
4.4%
센 98
 
4.4%
복 69
 
3.1%
활 67
 
3.0%
회 61
 
2.7%
사 60
 
2.7%
Other values (199) 1331
59.2%
Common
ValueCountFrequency (%)
71
66.4%
) 16
 
15.0%
( 10
 
9.3%
1 6
 
5.6%
9 2
 
1.9%
4 1
 
0.9%
- 1
 
0.9%
Latin
ValueCountFrequency (%)
A 1
33.3%
Y 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2241
95.0%
ASCII 110
 
4.7%
None 8
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 133
 
5.9%
지 122
 
5.4%
애 104
 
4.6%
장 104
 
4.6%
터 100
 
4.5%
센 98
 
4.4%
복 69
 
3.1%
활 67
 
3.0%
회 61
 
2.7%
사 60
 
2.7%
Other values (198) 1323
59.0%
ASCII
ValueCountFrequency (%)
71
64.5%
) 16
 
14.5%
( 10
 
9.1%
1 6
 
5.5%
9 2
 
1.8%
A 1
 
0.9%
Y 1
 
0.9%
C 1
 
0.9%
4 1
 
0.9%
- 1
 
0.9%
None
ValueCountFrequency (%)
㈜ 8
100.0%

활동보조급여구분명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
해당
169 
X
27 

Length

Max length2
Median length2
Mean length1.8622449
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당 169
86.2%
X 27
 
13.8%

Length

2024-03-13T08:11:42.218146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:11:42.292538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당 169
86.2%
x 27
 
13.8%

방문목욕급여구분명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
X
165 
해당
31 

Length

Max length2
Median length1
Mean length1.1581633
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
X 165
84.2%
해당 31
 
15.8%

Length

2024-03-13T08:11:42.370967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:11:42.446019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 165
84.2%
해당 31
 
15.8%

방문간호급여구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
X
182 
해당
 
14

Length

Max length2
Median length1
Mean length1.0714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
X 182
92.9%
해당 14
 
7.1%

Length

2024-03-13T08:11:42.527898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:11:42.614874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 182
92.9%
해당 14
 
7.1%

소재지지번주소
Text

Distinct193
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-13T08:11:42.825808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length21.122449
Min length15

Characters and Unicode

Total characters4140
Distinct characters182
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

Unique190 ?
Unique (%)96.9%

Sample

1st row경기도 가평군 가평읍 읍내리 861번지
2nd row경기도 가평군 청평면 청평리 333-13번지
3rd row경기도 고양시 덕양구 주교동 583-3번지 대양빌라
4th row경기도 고양시 일산동구 중산동 1568-3번지
5th row경기도 고양시 일산서구 일산동 655-15번지 이안아파트
ValueCountFrequency (%)
경기도 196
 
22.1%
수원시 11
 
1.2%
용인시 11
 
1.2%
파주시 11
 
1.2%
성남시 10
 
1.1%
고양시 10
 
1.1%
광주시 9
 
1.0%
김포시 9
 
1.0%
안산시 9
 
1.0%
부천시 9
 
1.0%
Other values (408) 601
67.8%
2024-03-13T08:11:43.169559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
690
 
16.7%
지 207
 
5.0%
기 204
 
4.9%
도 202
 
4.9%
경 197
 
4.8%
번 196
 
4.7%
시 193
 
4.7%
동 172
 
4.2%
- 143
 
3.5%
1 135
 
3.3%
Other values (172) 1801
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2520
60.9%
Decimal Number 783
 
18.9%
Space Separator 690
 
16.7%
Dash Punctuation 143
 
3.5%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 207
 
8.2%
기 204
 
8.1%
도 202
 
8.0%
경 197
 
7.8%
번 196
 
7.8%
시 193
 
7.7%
동 172
 
6.8%
구 64
 
2.5%
리 44
 
1.7%
주 44
 
1.7%
Other values (158) 997
39.6%
Decimal Number
ValueCountFrequency (%)
1 135
17.2%
3 95
12.1%
2 89
11.4%
5 81
10.3%
6 78
10.0%
4 76
9.7%
8 72
9.2%
7 69
8.8%
0 48
 
6.1%
9 40
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
H 2
50.0%
L 2
50.0%
Space Separator
ValueCountFrequency (%)
690
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2520
60.9%
Common 1616
39.0%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 207
 
8.2%
기 204
 
8.1%
도 202
 
8.0%
경 197
 
7.8%
번 196
 
7.8%
시 193
 
7.7%
동 172
 
6.8%
구 64
 
2.5%
리 44
 
1.7%
주 44
 
1.7%
Other values (158) 997
39.6%
Common
ValueCountFrequency (%)
690
42.7%
- 143
 
8.8%
1 135
 
8.4%
3 95
 
5.9%
2 89
 
5.5%
5 81
 
5.0%
6 78
 
4.8%
4 76
 
4.7%
8 72
 
4.5%
7 69
 
4.3%
Other values (2) 88
 
5.4%
Latin
ValueCountFrequency (%)
H 2
50.0%
L 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2520
60.9%
ASCII 1620
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
690
42.6%
- 143
 
8.8%
1 135
 
8.3%
3 95
 
5.9%
2 89
 
5.5%
5 81
 
5.0%
6 78
 
4.8%
4 76
 
4.7%
8 72
 
4.4%
7 69
 
4.3%
Other values (4) 92
 
5.7%
Hangul
ValueCountFrequency (%)
지 207
 
8.2%
기 204
 
8.1%
도 202
 
8.0%
경 197
 
7.8%
번 196
 
7.8%
시 193
 
7.7%
동 172
 
6.8%
구 64
 
2.5%
리 44
 
1.7%
주 44
 
1.7%
Other values (158) 997
39.6%

소재지도로명주소
Text

Distinct193
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-13T08:11:43.405399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length18.418367
Min length13

Characters and Unicode

Total characters3610
Distinct characters194
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

Unique190 ?
Unique (%)96.9%

Sample

1st row경기도 가평군 가평읍 석봉로191번길 65-19
2nd row경기도 가평군 청평면 은고개로 39
3rd row경기도 고양시 덕양구 마상로114번길 22
4th row경기도 고양시 일산동구 중산로 248
5th row경기도 고양시 일산서구 고양대로632번길 60
ValueCountFrequency (%)
경기도 196
 
22.3%
수원시 11
 
1.3%
용인시 11
 
1.3%
파주시 11
 
1.3%
고양시 10
 
1.1%
성남시 10
 
1.1%
안산시 9
 
1.0%
부천시 9
 
1.0%
김포시 9
 
1.0%
광주시 9
 
1.0%
Other values (388) 592
67.5%
2024-03-13T08:11:43.736874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
681
18.9%
경 204
 
5.7%
기 204
 
5.7%
도 202
 
5.6%
시 193
 
5.3%
로 180
 
5.0%
1 136
 
3.8%
2 80
 
2.2%
4 74
 
2.0%
3 64
 
1.8%
Other values (184) 1592
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2252
62.4%
Space Separator 681
 
18.9%
Decimal Number 649
 
18.0%
Dash Punctuation 28
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 204
 
9.1%
기 204
 
9.1%
도 202
 
9.0%
시 193
 
8.6%
로 180
 
8.0%
길 63
 
2.8%
구 59
 
2.6%
번 47
 
2.1%
양 41
 
1.8%
안 40
 
1.8%
Other values (172) 1019
45.2%
Decimal Number
ValueCountFrequency (%)
1 136
21.0%
2 80
12.3%
4 74
11.4%
3 64
9.9%
9 59
9.1%
6 57
8.8%
5 50
 
7.7%
7 47
 
7.2%
0 47
 
7.2%
8 35
 
5.4%
Space Separator
ValueCountFrequency (%)
681
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2252
62.4%
Common 1358
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 204
 
9.1%
기 204
 
9.1%
도 202
 
9.0%
시 193
 
8.6%
로 180
 
8.0%
길 63
 
2.8%
구 59
 
2.6%
번 47
 
2.1%
양 41
 
1.8%
안 40
 
1.8%
Other values (172) 1019
45.2%
Common
ValueCountFrequency (%)
681
50.1%
1 136
 
10.0%
2 80
 
5.9%
4 74
 
5.4%
3 64
 
4.7%
9 59
 
4.3%
6 57
 
4.2%
5 50
 
3.7%
7 47
 
3.5%
0 47
 
3.5%
Other values (2) 63
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2252
62.4%
ASCII 1358
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
681
50.1%
1 136
 
10.0%
2 80
 
5.9%
4 74
 
5.4%
3 64
 
4.7%
9 59
 
4.3%
6 57
 
4.2%
5 50
 
3.7%
7 47
 
3.5%
0 47
 
3.5%
Other values (2) 63
 
4.6%
Hangul
ValueCountFrequency (%)
경 204
 
9.1%
기 204
 
9.1%
도 202
 
9.0%
시 193
 
8.6%
로 180
 
8.0%
길 63
 
2.8%
구 59
 
2.6%
번 47
 
2.1%
양 41
 
1.8%
안 40
 
1.8%
Other values (172) 1019
45.2%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct178
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13952.107
Minimum10039
Maximum18588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-13T08:11:43.849227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10039
5-th percentile10346.75
Q111595.5
median13446.5
Q316326
95-th percentile18125
Maximum18588
Range8549
Interquartile range (IQR)4730.5

Descriptive statistics

Standard deviation2614.3347
Coefficient of variation (CV)0.1873792
Kurtosis-1.2744996
Mean13952.107
Median Absolute Deviation (MAD)2299
Skewness0.2062934
Sum2734613
Variance6834745.7
MonotonicityNot monotonic
2024-03-13T08:11:43.955362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14303 3
 
1.5%
11025 2
 
1.0%
16978 2
 
1.0%
17006 2
 
1.0%
12237 2
 
1.0%
12959 2
 
1.0%
17153 2
 
1.0%
13147 2
 
1.0%
13828 2
 
1.0%
10387 2
 
1.0%
Other values (168) 175
89.3%
ValueCountFrequency (%)
10039 1
0.5%
10063 1
0.5%
10071 2
1.0%
10083 1
0.5%
10086 1
0.5%
10092 1
0.5%
10111 2
1.0%
10331 1
0.5%
10352 1
0.5%
10380 1
0.5%
ValueCountFrequency (%)
18588 1
0.5%
18533 1
0.5%
18489 1
0.5%
18479 1
0.5%
18473 1
0.5%
18401 1
0.5%
18398 1
0.5%
18258 1
0.5%
18139 1
0.5%
18131 1
0.5%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct195
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.467717
Minimum36.986899
Maximum38.060777
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-13T08:11:44.056607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.986899
5-th percentile37.011699
Q137.293906
median37.431875
Q337.660438
95-th percentile37.903362
Maximum38.060777
Range1.073878
Interquartile range (IQR)0.3665318

Descriptive statistics

Standard deviation0.24963419
Coefficient of variation (CV)0.0066626475
Kurtosis-0.52311666
Mean37.467717
Median Absolute Deviation (MAD)0.17328545
Skewness0.22292593
Sum7343.6725
Variance0.06231723
MonotonicityNot monotonic
2024-03-13T08:11:44.185057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2774982 2
 
1.0%
37.8311498 1
 
0.5%
37.2363806 1
 
0.5%
38.0246431 1
 
0.5%
38.0438629 1
 
0.5%
38.0607769 1
 
0.5%
38.0220936 1
 
0.5%
37.1590177 1
 
0.5%
37.14807788 1
 
0.5%
37.16367858 1
 
0.5%
Other values (185) 185
94.4%
ValueCountFrequency (%)
36.98689891 1
0.5%
36.9880181 1
0.5%
36.9898046 1
0.5%
36.99109379 1
0.5%
36.99159438 1
0.5%
36.99307462 1
0.5%
36.9984929 1
0.5%
36.99985479 1
0.5%
37.00016648 1
0.5%
37.0098037 1
0.5%
ValueCountFrequency (%)
38.0607769 1
0.5%
38.0438629 1
0.5%
38.0246431 1
0.5%
38.0220936 1
0.5%
38.02091151 1
0.5%
37.93742853 1
0.5%
37.908045 1
0.5%
37.9071016 1
0.5%
37.90475623 1
0.5%
37.9046371 1
0.5%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct195
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.03727
Minimum126.58773
Maximum127.6482
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-13T08:11:44.512969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.58773
5-th percentile126.72226
Q1126.84662
median127.0533
Q3127.1577
95-th percentile127.45161
Maximum127.6482
Range1.0604699
Interquartile range (IQR)0.31107952

Descriptive statistics

Standard deviation0.22465254
Coefficient of variation (CV)0.0017683987
Kurtosis0.16336787
Mean127.03727
Median Absolute Deviation (MAD)0.1535768
Skewness0.50129773
Sum24899.304
Variance0.050468763
MonotonicityNot monotonic
2024-03-13T08:11:44.619184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.4431863 2
 
1.0%
127.5017742 1
 
0.5%
127.2109019 1
 
0.5%
127.0703614 1
 
0.5%
127.079504 1
 
0.5%
127.0986075 1
 
0.5%
127.0701427 1
 
0.5%
127.0683628 1
 
0.5%
127.0760074 1
 
0.5%
127.0532895 1
 
0.5%
Other values (185) 185
94.4%
ValueCountFrequency (%)
126.5877251 1
0.5%
126.6223412 1
0.5%
126.6340888 1
0.5%
126.6485601 1
0.5%
126.658081 1
0.5%
126.6677223 1
0.5%
126.7082004 1
0.5%
126.7111952 1
0.5%
126.7177263 1
0.5%
126.7208817 1
0.5%
ValueCountFrequency (%)
127.648195 1
0.5%
127.6419306 1
0.5%
127.6401935 1
0.5%
127.6325781 1
0.5%
127.6322754 1
0.5%
127.5893034 1
0.5%
127.5595075 1
0.5%
127.5017742 1
0.5%
127.5016136 1
0.5%
127.4590185 1
0.5%

전화번호
Text

Distinct194
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-13T08:11:44.804843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.05102
Min length11

Characters and Unicode

Total characters2362
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

Unique192 ?
Unique (%)98.0%

Sample

1st row031-581-9785
2nd row031-585-8879
3rd row031-969-4182
4th row031-816-5222
5th row031-976-6721
ValueCountFrequency (%)
031-762-6494 2
 
1.0%
031-473-3200 2
 
1.0%
031-954-2207 1
 
0.5%
031-321-7507 1
 
0.5%
031-581-9785 1
 
0.5%
031-282-4944 1
 
0.5%
031-835-8308 1
 
0.5%
031-834-5657 1
 
0.5%
031-832-0510 1
 
0.5%
031-375-7507 1
 
0.5%
Other values (184) 184
93.9%
2024-03-13T08:11:45.137439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 392
16.6%
0 376
15.9%
3 318
13.5%
1 312
13.2%
7 150
 
6.4%
2 150
 
6.4%
5 149
 
6.3%
8 148
 
6.3%
6 123
 
5.2%
4 123
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1970
83.4%
Dash Punctuation 392
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 376
19.1%
3 318
16.1%
1 312
15.8%
7 150
 
7.6%
2 150
 
7.6%
5 149
 
7.6%
8 148
 
7.5%
6 123
 
6.2%
4 123
 
6.2%
9 121
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 392
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2362
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 392
16.6%
0 376
15.9%
3 318
13.5%
1 312
13.2%
7 150
 
6.4%
2 150
 
6.4%
5 149
 
6.3%
8 148
 
6.3%
6 123
 
5.2%
4 123
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2362
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 392
16.6%
0 376
15.9%
3 318
13.5%
1 312
13.2%
7 150
 
6.4%
2 150
 
6.4%
5 149
 
6.3%
8 148
 
6.3%
6 123
 
5.2%
4 123
 
5.2%

홈페이지URL
Text

Distinct159
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-13T08:11:45.337368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length37
Mean length18.47449
Min length3

Characters and Unicode

Total characters3621
Distinct characters122
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)80.1%

Sample

1st rowgapyeongjb.or.kr
2nd rowhttp://www.8879.or.kr/
3rd rowhttp://www.gaidd.or.kr/
4th rowhttp://gomilal.or.kr/
5th rowhttps://blog.naver.com/goodp365
ValueCountFrequency (%)
www 39
 
19.2%
www.용인도우누리.com 2
 
1.0%
www.happy1004.or.kr 1
 
0.5%
1
 
0.5%
http://www.oscommunity.kr 1
 
0.5%
http://www.참조은.kr 1
 
0.5%
http://cafe.daum.net/ycilcenter 1
 
0.5%
www.gracevill.org 1
 
0.5%
http://www.idbc.kr 1
 
0.5%
사단법인 1
 
0.5%
Other values (154) 154
75.9%
2024-03-13T08:11:45.611536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 424
 
11.7%
. 394
 
10.9%
/ 261
 
7.2%
o 218
 
6.0%
r 216
 
6.0%
t 215
 
5.9%
a 164
 
4.5%
p 139
 
3.8%
h 135
 
3.7%
c 132
 
3.6%
Other values (112) 1323
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2666
73.6%
Other Punctuation 747
 
20.6%
Other Letter 89
 
2.5%
Decimal Number 83
 
2.3%
Uppercase Letter 14
 
0.4%
Space Separator 7
 
0.2%
Dash Punctuation 6
 
0.2%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Connector Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 6
 
6.7%
리 3
 
3.4%
동 3
 
3.4%
사 3
 
3.4%
은 2
 
2.2%
조 2
 
2.2%
장 2
 
2.2%
애 2
 
2.2%
지 2
 
2.2%
버 2
 
2.2%
Other values (58) 62
69.7%
Lowercase Letter
ValueCountFrequency (%)
w 424
15.9%
o 218
 
8.2%
r 216
 
8.1%
t 215
 
8.1%
a 164
 
6.2%
p 139
 
5.2%
h 135
 
5.1%
c 132
 
5.0%
e 126
 
4.7%
n 113
 
4.2%
Other values (16) 784
29.4%
Decimal Number
ValueCountFrequency (%)
0 19
22.9%
4 14
16.9%
2 10
12.0%
8 9
10.8%
1 9
10.8%
3 6
 
7.2%
9 6
 
7.2%
6 5
 
6.0%
5 3
 
3.6%
7 2
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
W 3
21.4%
C 3
21.4%
E 2
14.3%
I 2
14.3%
L 2
14.3%
A 1
 
7.1%
B 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 394
52.7%
/ 261
34.9%
: 85
 
11.4%
% 6
 
0.8%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2680
74.0%
Common 852
 
23.5%
Hangul 89
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 6
 
6.7%
리 3
 
3.4%
동 3
 
3.4%
사 3
 
3.4%
은 2
 
2.2%
조 2
 
2.2%
장 2
 
2.2%
애 2
 
2.2%
지 2
 
2.2%
버 2
 
2.2%
Other values (58) 62
69.7%
Latin
ValueCountFrequency (%)
w 424
15.8%
o 218
 
8.1%
r 216
 
8.1%
t 215
 
8.0%
a 164
 
6.1%
p 139
 
5.2%
h 135
 
5.0%
c 132
 
4.9%
e 126
 
4.7%
n 113
 
4.2%
Other values (23) 798
29.8%
Common
ValueCountFrequency (%)
. 394
46.2%
/ 261
30.6%
: 85
 
10.0%
0 19
 
2.2%
4 14
 
1.6%
2 10
 
1.2%
8 9
 
1.1%
1 9
 
1.1%
7
 
0.8%
% 6
 
0.7%
Other values (11) 38
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3532
97.5%
Hangul 89
 
2.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 424
 
12.0%
. 394
 
11.2%
/ 261
 
7.4%
o 218
 
6.2%
r 216
 
6.1%
t 215
 
6.1%
a 164
 
4.6%
p 139
 
3.9%
h 135
 
3.8%
c 132
 
3.7%
Other values (44) 1234
34.9%
Hangul
ValueCountFrequency (%)
인 6
 
6.7%
리 3
 
3.4%
동 3
 
3.4%
사 3
 
3.4%
은 2
 
2.2%
조 2
 
2.2%
장 2
 
2.2%
애 2
 
2.2%
지 2
 
2.2%
버 2
 
2.2%
Other values (58) 62
69.7%

Interactions

2024-03-13T08:11:41.166652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:40.792015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:40.983655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:41.225944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:40.853555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:41.044914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:41.289012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:40.920174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:11:41.105310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:11:45.687872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명활동보조급여구분명방문목욕급여구분명방문간호급여구분명소재지우편번호WGS84위도WGS84경도
시군명1.0000.1460.1710.0000.9930.9770.963
활동보조급여구분명0.1461.0000.8580.6940.0000.3210.089
방문목욕급여구분명0.1710.8581.0000.1590.0000.1660.223
방문간호급여구분명0.0000.6940.1591.0000.0000.0000.000
소재지우편번호0.9930.0000.0000.0001.0000.9140.884
WGS84위도0.9770.3210.1660.0000.9141.0000.690
WGS84경도0.9630.0890.2230.0000.8840.6901.000
2024-03-13T08:11:45.769387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
활동보조급여구분명방문간호급여구분명시군명방문목욕급여구분명
활동보조급여구분명1.0000.4890.1110.656
방문간호급여구분명0.4891.0000.0000.102
시군명0.1110.0001.0000.131
방문목욕급여구분명0.6560.1020.1311.000
2024-03-13T08:11:45.841564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명활동보조급여구분명방문목욕급여구분명방문간호급여구분명
소재지우편번호1.000-0.8970.2180.8840.0000.0000.000
WGS84위도-0.8971.000-0.2230.7980.2410.1240.000
WGS84경도0.218-0.2231.0000.7360.0650.1670.000
시군명0.8840.7980.7361.0000.1110.1310.000
활동보조급여구분명0.0000.2410.0650.1111.0000.6560.489
방문목욕급여구분명0.0000.1240.1670.1310.6561.0000.102
방문간호급여구분명0.0000.0000.0000.0000.4890.1021.000

Missing values

2024-03-13T08:11:41.381428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:11:41.504448image/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

시군명기관명활동보조급여구분명방문목욕급여구분명방문간호급여구분명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
0가평군재단법인 가평군복지재단(가평군장애인복지관)해당XX경기도 가평군 가평읍 읍내리 861번지경기도 가평군 가평읍 석봉로191번길 65-191241437.83115127.501774031-581-9785gapyeongjb.or.kr
1가평군재단법인 가평군복지재단(청평노인복지관)해당XX경기도 가평군 청평면 청평리 333-13번지경기도 가평군 청평면 은고개로 391245237.739211127.424325031-585-8879http://www.8879.or.kr/
2고양시경기도자립지원센터해당XX경기도 고양시 덕양구 주교동 583-3번지 대양빌라경기도 고양시 덕양구 마상로114번길 221045937.659743126.834904031-969-4182http://www.gaidd.or.kr/
3고양시고양밀알선교단해당XX경기도 고양시 일산동구 중산동 1568-3번지경기도 고양시 일산동구 중산로 2481033137.694024126.780961031-816-5222http://gomilal.or.kr/
4고양시굿피플주식회사해당XX경기도 고양시 일산서구 일산동 655-15번지 이안아파트경기도 고양시 일산서구 고양대로632번길 601035237.683805126.76857031-976-6721https://blog.naver.com/goodp365
5고양시기쁨누리케어센터X해당X경기도 고양시 덕양구 신원동 618번지경기도 고양시 덕양구 통일로 3451056837.665137126.890502031-962-7149www.
6고양시상록수장애인자활센터해당XX경기도 고양시 일산동구 마두동 832번지경기도 고양시 일산동구 일산로330번길 50-21040737.665521126.78662031-904-8812www.sangroksu.co.kr
7고양시아람장애인자립생활센터해당XX경기도 고양시 일산동구 장항동 856-3번지경기도 고양시 일산동구 정발산로 331040237.657168126.772559031-908-7712aramcil.com
8고양시일산장애인자립생활센터해당XX경기도 고양시 일산동구 장항동 778-2번지경기도 고양시 일산동구 무궁화로 341040137.662521126.768326031-906-3095www.ggableforum.or.kr/
9고양시즐거운장애인자립생활센터해당XX경기도 고양시 일산서구 주엽동 110번지경기도 고양시 일산서구 중앙로 14491038737.670575126.759131031-914-0423www.funilct.or.kr
시군명기관명활동보조급여구분명방문목욕급여구분명방문간호급여구분명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
186하남시하남시장애인복지관해당XX경기도 하남시 풍산동 산58-5번지경기도 하남시 미사강변남로 561291937.559574127.188299031-794-2266http://www.hanamrehab.or.kr/
187하남시하남장애인자립생활센터해당XX경기도 하남시 신장동 432-33번지경기도 하남시 신장로 941295937.537017127.207616031-796-0806http://hnil.co.kr/
188화성시(사)한국장애인부모회 화성시지부해당XX경기도 화성시 진안동 914-1번지경기도 화성시 효행로 10511839837.214554127.041919031-235-8998http://www.hsbumo.or.kr/
189화성시꿈고래 사회적협동조합해당XX경기도 화성시 오산동 975번지 더베스트경기도 화성시 동탄광역환승로 621847937.201001127.089365031-374-3180꿈고래사회적협동조합 (dreamwhale.org)
190화성시동부케어X해당해당경기도 화성시 진안동 514-2번지경기도 화성시 병점중앙로 1551840137.211329127.038087070-4250-4755www.idbc.kr
191화성시케어119돌봄센터해당XX경기도 화성시 팔탄면 가재리 304번지경기도 화성시 팔탄면 삼천병마로 518-101853337.155365126.928291031-8059-5424https://cafe.daum.net/hsjwcare119
192화성시화성서남부장애인자립생활지원센터해당XX경기도 화성시 남양읍 남양리 1365번지경기도 화성시 남양읍 남양성지로 1991825837.201404126.790835031-355-1167hsil.kr
193화성시화성시동탄아르딤복지관해당XX경기도 화성시 산척동 676번지경기도 화성시 동탄대로10길 17-121848937.176721127.107804031-8077-0800https://www.dt-ardim.or.kr/
194화성시화성시동탄치동천종합사회복지관해당XX경기도 화성시 영천동 722번지 동탄2LH4단지경기도 화성시 동탄순환대로 24길 1011847337.205904127.120495031-378-8111www.dt4w.or.kr
195화성시화성시아르딤복지관해당해당X경기도 화성시 향남읍 도이리 220-20번지경기도 화성시 향남읍 도이1길 1041858837.136423126.920497031-5183-8900https://www.ardim.or.kr/