Overview

Dataset statistics

Number of variables9
Number of observations68
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory76.9 B

Variable types

Categorical1
Text5
Numeric3

Dataset

Description정신장애인 사회복귀시설 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=BPA3KJ0LURZJUNHT5Z1X24988847&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
기관명 has unique valuesUnique

Reproduction

Analysis started2024-03-12 23:28:54.196077
Analysis finished2024-03-12 23:28:55.658664
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
수원시
14 
부천시
6 
고양시
5 
성남시
5 
화성시
5 
Other values (15)
33 

Length

Max length4
Median length3
Mean length3.0588235
Min length3

Unique

Unique4 ?
Unique (%)5.9%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 14
20.6%
부천시 6
 
8.8%
고양시 5
 
7.4%
성남시 5
 
7.4%
화성시 5
 
7.4%
파주시 4
 
5.9%
오산시 3
 
4.4%
용인시 3
 
4.4%
평택시 3
 
4.4%
안성시 3
 
4.4%
Other values (10) 17
25.0%

Length

2024-03-13T08:28:55.709921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 14
20.6%
부천시 6
 
8.8%
고양시 5
 
7.4%
성남시 5
 
7.4%
화성시 5
 
7.4%
파주시 4
 
5.9%
평택시 3
 
4.4%
안성시 3
 
4.4%
시흥시 3
 
4.4%
용인시 3
 
4.4%
Other values (10) 17
25.0%

기관명
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-03-13T08:28:55.905125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length4.3088235
Min length1

Characters and Unicode

Total characters293
Distinct characters137
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)100.0%

Sample

1st row기쁨해
2nd row삶센터
3rd row새희망둥지
4th row일산그리다마음건강센터
5th row카프이용센터
ValueCountFrequency (%)
기쁨해 1
 
1.4%
다온집 1
 
1.4%
안산마음사랑 1
 
1.4%
꿈 1
 
1.4%
달팽이의 1
 
1.4%
동그라미 1
 
1.4%
온 1
 
1.4%
삶센터 1
 
1.4%
사랑터 1
 
1.4%
회복 1
 
1.4%
Other values (60) 60
85.7%
2024-03-13T08:28:56.208294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
집 12
 
4.1%
우 7
 
2.4%
터 7
 
2.4%
이 7
 
2.4%
리 6
 
2.0%
마 6
 
2.0%
동 6
 
2.0%
의 5
 
1.7%
센 5
 
1.7%
사 5
 
1.7%
Other values (127) 227
77.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 284
96.9%
Decimal Number 3
 
1.0%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%
Space Separator 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 12
 
4.2%
우 7
 
2.5%
터 7
 
2.5%
이 7
 
2.5%
리 6
 
2.1%
마 6
 
2.1%
동 6
 
2.1%
의 5
 
1.8%
센 5
 
1.8%
사 5
 
1.8%
Other values (122) 218
76.8%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 284
96.9%
Common 9
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
집 12
 
4.2%
우 7
 
2.5%
터 7
 
2.5%
이 7
 
2.5%
리 6
 
2.1%
마 6
 
2.1%
동 6
 
2.1%
의 5
 
1.8%
센 5
 
1.8%
사 5
 
1.8%
Other values (122) 218
76.8%
Common
ValueCountFrequency (%)
( 2
22.2%
) 2
22.2%
2
22.2%
2 2
22.2%
1 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 284
96.9%
ASCII 9
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
집 12
 
4.2%
우 7
 
2.5%
터 7
 
2.5%
이 7
 
2.5%
리 6
 
2.1%
마 6
 
2.1%
동 6
 
2.1%
의 5
 
1.8%
센 5
 
1.8%
사 5
 
1.8%
Other values (122) 218
76.8%
ASCII
ValueCountFrequency (%)
( 2
22.2%
) 2
22.2%
2
22.2%
2 2
22.2%
1 1
11.1%

소재지지번주소
Text

Distinct67
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-03-13T08:28:56.443004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length30.367647
Min length17

Characters and Unicode

Total characters2065
Distinct characters188
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)97.1%

Sample

1st row경기도 고양시 덕양구 고양동 1132번지 그린파크 103동 502호
2nd row경기도 고양시 일산동구 백석동 1308번지 남정씨티프라자 414호
3rd row경기도 고양시 일산동구 설문동 701-3번지
4th row경기도 고양시 일산서구 일산동 655-15번지 이안아파트 4층 408호
5th row경기도 고양시 일산동구 백석동 1241번지
ValueCountFrequency (%)
경기도 68
 
15.6%
수원시 14
 
3.2%
부천시 6
 
1.4%
201호 5
 
1.1%
화성시 5
 
1.1%
권선구 5
 
1.1%
고양시 5
 
1.1%
2층 5
 
1.1%
성남시 5
 
1.1%
101호 4
 
0.9%
Other values (243) 314
72.0%
2024-03-13T08:28:56.790886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
368
 
17.8%
1 96
 
4.6%
동 85
 
4.1%
지 72
 
3.5%
시 72
 
3.5%
기 69
 
3.3%
도 69
 
3.3%
번 68
 
3.3%
경 68
 
3.3%
2 67
 
3.2%
Other values (178) 1031
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1190
57.6%
Decimal Number 443
 
21.5%
Space Separator 368
 
17.8%
Dash Punctuation 52
 
2.5%
Uppercase Letter 6
 
0.3%
Other Punctuation 3
 
0.1%
Lowercase Letter 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 85
 
7.1%
지 72
 
6.1%
시 72
 
6.1%
기 69
 
5.8%
도 69
 
5.8%
번 68
 
5.7%
경 68
 
5.7%
호 37
 
3.1%
구 37
 
3.1%
원 26
 
2.2%
Other values (159) 587
49.3%
Decimal Number
ValueCountFrequency (%)
1 96
21.7%
2 67
15.1%
0 60
13.5%
4 46
10.4%
3 40
9.0%
5 38
 
8.6%
7 26
 
5.9%
9 25
 
5.6%
6 24
 
5.4%
8 21
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
C 3
50.0%
B 2
33.3%
A 1
 
16.7%
Space Separator
ValueCountFrequency (%)
368
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1190
57.6%
Common 868
42.0%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 85
 
7.1%
지 72
 
6.1%
시 72
 
6.1%
기 69
 
5.8%
도 69
 
5.8%
번 68
 
5.7%
경 68
 
5.7%
호 37
 
3.1%
구 37
 
3.1%
원 26
 
2.2%
Other values (159) 587
49.3%
Common
ValueCountFrequency (%)
368
42.4%
1 96
 
11.1%
2 67
 
7.7%
0 60
 
6.9%
- 52
 
6.0%
4 46
 
5.3%
3 40
 
4.6%
5 38
 
4.4%
7 26
 
3.0%
9 25
 
2.9%
Other values (5) 50
 
5.8%
Latin
ValueCountFrequency (%)
C 3
42.9%
B 2
28.6%
A 1
 
14.3%
s 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1190
57.6%
ASCII 875
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
368
42.1%
1 96
 
11.0%
2 67
 
7.7%
0 60
 
6.9%
- 52
 
5.9%
4 46
 
5.3%
3 40
 
4.6%
5 38
 
4.3%
7 26
 
3.0%
9 25
 
2.9%
Other values (9) 57
 
6.5%
Hangul
ValueCountFrequency (%)
동 85
 
7.1%
지 72
 
6.1%
시 72
 
6.1%
기 69
 
5.8%
도 69
 
5.8%
번 68
 
5.7%
경 68
 
5.7%
호 37
 
3.1%
구 37
 
3.1%
원 26
 
2.2%
Other values (159) 587
49.3%

소재지도로명주소
Text

Distinct67
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-03-13T08:28:56.991691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length29.985294
Min length14

Characters and Unicode

Total characters2039
Distinct characters197
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)97.1%

Sample

1st row경기도 고양시 덕양구 푸른마을로 33-9 그린파크 103동 502호
2nd row경기도 고양시 일산동구 일산로46, 414호
3rd row경기도 고양시 일산동구 상지석길 443
4th row경기도 고양시 일산서구 고양대로 632번길 60, 4층 408호
5th row경기도 고양시 일산동구 일산로 86
ValueCountFrequency (%)
경기도 68
 
15.3%
수원시 14
 
3.2%
부천시 6
 
1.4%
화성시 5
 
1.1%
2층 5
 
1.1%
성남시 5
 
1.1%
고양시 5
 
1.1%
조리읍 4
 
0.9%
파주시 4
 
0.9%
201호 4
 
0.9%
Other values (266) 324
73.0%
2024-03-13T08:28:57.311265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
377
 
18.5%
1 89
 
4.4%
2 77
 
3.8%
경 73
 
3.6%
시 72
 
3.5%
기 70
 
3.4%
도 69
 
3.4%
로 62
 
3.0%
0 60
 
2.9%
3 48
 
2.4%
Other values (187) 1042
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1124
55.1%
Decimal Number 450
22.1%
Space Separator 377
 
18.5%
Dash Punctuation 35
 
1.7%
Other Punctuation 22
 
1.1%
Close Punctuation 11
 
0.5%
Open Punctuation 11
 
0.5%
Uppercase Letter 7
 
0.3%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 73
 
6.5%
시 72
 
6.4%
기 70
 
6.2%
도 69
 
6.1%
로 62
 
5.5%
길 44
 
3.9%
동 38
 
3.4%
호 37
 
3.3%
번 37
 
3.3%
구 31
 
2.8%
Other values (167) 591
52.6%
Decimal Number
ValueCountFrequency (%)
1 89
19.8%
2 77
17.1%
0 60
13.3%
3 48
10.7%
4 42
9.3%
6 33
 
7.3%
8 30
 
6.7%
7 26
 
5.8%
9 26
 
5.8%
5 19
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
A 3
42.9%
C 2
28.6%
B 2
28.6%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
377
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1124
55.1%
Common 906
44.4%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 73
 
6.5%
시 72
 
6.4%
기 70
 
6.2%
도 69
 
6.1%
로 62
 
5.5%
길 44
 
3.9%
동 38
 
3.4%
호 37
 
3.3%
번 37
 
3.3%
구 31
 
2.8%
Other values (167) 591
52.6%
Common
ValueCountFrequency (%)
377
41.6%
1 89
 
9.8%
2 77
 
8.5%
0 60
 
6.6%
3 48
 
5.3%
4 42
 
4.6%
- 35
 
3.9%
6 33
 
3.6%
8 30
 
3.3%
7 26
 
2.9%
Other values (5) 89
 
9.8%
Latin
ValueCountFrequency (%)
A 3
33.3%
C 2
22.2%
B 2
22.2%
s 1
 
11.1%
c 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1124
55.1%
ASCII 915
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
377
41.2%
1 89
 
9.7%
2 77
 
8.4%
0 60
 
6.6%
3 48
 
5.2%
4 42
 
4.6%
- 35
 
3.8%
6 33
 
3.6%
8 30
 
3.3%
7 26
 
2.8%
Other values (10) 98
 
10.7%
Hangul
ValueCountFrequency (%)
경 73
 
6.5%
시 72
 
6.4%
기 70
 
6.2%
도 69
 
6.1%
로 62
 
5.5%
길 44
 
3.9%
동 38
 
3.4%
호 37
 
3.3%
번 37
 
3.3%
구 31
 
2.8%
Other values (167) 591
52.6%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct61
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14883.044
Minimum10016
Maximum18511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-03-13T08:28:57.420231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10016
5-th percentile10385.95
Q112936.25
median15387.5
Q316780.5
95-th percentile18377.9
Maximum18511
Range8495
Interquartile range (IQR)3844.25

Descriptive statistics

Standard deviation2660.7106
Coefficient of variation (CV)0.17877463
Kurtosis-1.1234119
Mean14883.044
Median Absolute Deviation (MAD)2099.5
Skewness-0.43714025
Sum1012047
Variance7079381.1
MonotonicityNot monotonic
2024-03-13T08:28:57.522201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18116 2
 
2.9%
10937 2
 
2.9%
16658 2
 
2.9%
17536 2
 
2.9%
17046 2
 
2.9%
14768 2
 
2.9%
16657 2
 
2.9%
10270 1
 
1.5%
17067 1
 
1.5%
18134 1
 
1.5%
Other values (51) 51
75.0%
ValueCountFrequency (%)
10016 1
1.5%
10245 1
1.5%
10270 1
1.5%
10352 1
1.5%
10449 1
1.5%
10450 1
1.5%
10936 1
1.5%
10937 2
2.9%
10942 1
1.5%
11160 1
1.5%
ValueCountFrequency (%)
18511 1
1.5%
18458 1
1.5%
18411 1
1.5%
18401 1
1.5%
18335 1
1.5%
18134 1
1.5%
18116 2
2.9%
17908 1
1.5%
17907 1
1.5%
17896 1
1.5%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.390224
Minimum36.977947
Maximum37.862314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-03-13T08:28:57.641047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.977947
5-th percentile36.993319
Q137.242933
median37.34816
Q337.548092
95-th percentile37.747575
Maximum37.862314
Range0.88436779
Interquartile range (IQR)0.30515865

Descriptive statistics

Standard deviation0.23272247
Coefficient of variation (CV)0.0062241528
Kurtosis-0.77348391
Mean37.390224
Median Absolute Deviation (MAD)0.13703721
Skewness0.22174773
Sum2542.5352
Variance0.054159746
MonotonicityNot monotonic
2024-03-13T08:28:57.751945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2381566285 2
 
2.9%
37.2500983589 2
 
2.9%
37.7111728498 1
 
1.5%
37.7953199999 1
 
1.5%
37.268762925 1
 
1.5%
37.1562803645 1
 
1.5%
37.1613098592 1
 
1.5%
37.1595998625 1
 
1.5%
37.4040749537 1
 
1.5%
37.3749031222 1
 
1.5%
Other values (56) 56
82.4%
ValueCountFrequency (%)
36.9779465381 1
1.5%
36.9779467734 1
1.5%
36.9915887354 1
1.5%
36.9921938786 1
1.5%
36.9954077943 1
1.5%
36.996077717 1
1.5%
37.1562803645 1
1.5%
37.1595998625 1
1.5%
37.1613098592 1
1.5%
37.1667795829 1
1.5%
ValueCountFrequency (%)
37.8623143258 1
1.5%
37.7953199999 1
1.5%
37.7720032159 1
1.5%
37.7498134666 1
1.5%
37.7434178425 1
1.5%
37.7432248249 1
1.5%
37.742962924 1
1.5%
37.7426460927 1
1.5%
37.7263687235 1
1.5%
37.7262969795 1
1.5%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.9903
Minimum126.6066
Maximum127.30881
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-03-13T08:28:57.874484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.6066
5-th percentile126.77397
Q1126.82648
median127.0199
Q3127.09221
95-th percentile127.19482
Maximum127.30881
Range0.70221595
Interquartile range (IQR)0.26572219

Descriptive statistics

Standard deviation0.15332171
Coefficient of variation (CV)0.0012073498
Kurtosis-0.64193444
Mean126.9903
Median Absolute Deviation (MAD)0.11235699
Skewness-0.22904891
Sum8635.3404
Variance0.023507547
MonotonicityNot monotonic
2024-03-13T08:28:57.997516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1948180897 2
 
2.9%
127.0157868924 2
 
2.9%
126.903909377 1
 
1.5%
127.0073662579 1
 
1.5%
127.1073858657 1
 
1.5%
127.0745201578 1
 
1.5%
127.0744131307 1
 
1.5%
127.0726545083 1
 
1.5%
126.9660316068 1
 
1.5%
126.8403272889 1
 
1.5%
Other values (56) 56
82.4%
ValueCountFrequency (%)
126.606596937 1
1.5%
126.751571297 1
1.5%
126.768533497 1
1.5%
126.7717367204 1
1.5%
126.7781161926 1
1.5%
126.7813067586 1
1.5%
126.7879035396 1
1.5%
126.7910618871 1
1.5%
126.7916698675 1
1.5%
126.7959622558 1
1.5%
ValueCountFrequency (%)
127.3088128915 1
1.5%
127.3086668278 1
1.5%
127.2137864527 1
1.5%
127.1948180897 2
2.9%
127.1815003213 1
1.5%
127.1736823357 1
1.5%
127.1637620623 1
1.5%
127.1602883791 1
1.5%
127.1600589585 1
1.5%
127.1587278537 1
1.5%

전화번호
Text

Distinct64
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-03-13T08:28:58.206936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.117647
Min length12

Characters and Unicode

Total characters824
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

Unique60 ?
Unique (%)88.2%

Sample

1st row031-813-3031
2nd row031-904-5705
3rd row031-977-9780
4th row031-977-3324
5th row031-810-9251
ValueCountFrequency (%)
031-322-3911 2
 
2.9%
070-4306-6838 2
 
2.9%
031-745-8253 2
 
2.9%
031-948-1191 2
 
2.9%
070-8223-2816 1
 
1.5%
031-376-5690 1
 
1.5%
031-824-0906 1
 
1.5%
031-322-7940 1
 
1.5%
031-372-5410 1
 
1.5%
031-376-9129 1
 
1.5%
Other values (54) 54
79.4%
2024-03-13T08:28:58.539135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 136
16.5%
0 129
15.7%
3 117
14.2%
1 101
12.3%
2 68
8.3%
7 55
6.7%
6 51
 
6.2%
9 47
 
5.7%
8 41
 
5.0%
5 40
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 688
83.5%
Dash Punctuation 136
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 129
18.8%
3 117
17.0%
1 101
14.7%
2 68
9.9%
7 55
8.0%
6 51
 
7.4%
9 47
 
6.8%
8 41
 
6.0%
5 40
 
5.8%
4 39
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 824
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 136
16.5%
0 129
15.7%
3 117
14.2%
1 101
12.3%
2 68
8.3%
7 55
6.7%
6 51
 
6.2%
9 47
 
5.7%
8 41
 
5.0%
5 40
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 136
16.5%
0 129
15.7%
3 117
14.2%
1 101
12.3%
2 68
8.3%
7 55
6.7%
6 51
 
6.2%
9 47
 
5.7%
8 41
 
5.0%
5 40
 
4.9%

홈페이지URL
Text

Distinct37
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-03-13T08:28:58.727516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length31.5
Mean length23.294118
Min length4

Characters and Unicode

Total characters1584
Distinct characters53
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

Unique30 ?
Unique (%)44.1%

Sample

1st rowhttp://kpr.or.kr/
2nd rowwww.
3rd rowhttp://cafe.daum.net/doonggee
4th rowhttps://blog.naver.com/ilsangrida
5th rowhttp://www.karfcenter.or.kr/
ValueCountFrequency (%)
www 13
19.1%
http://kpr.or.kr 9
 
13.2%
www.wazzang.net/0319460023 4
 
5.9%
http://www.ksh1995.org 4
 
5.9%
https://www.yongin.go.kr/home/www/www01/www01_01/www01_01_04/www01_01_04_01.jsp 3
 
4.4%
https://www.smhc.or.kr 3
 
4.4%
http://cafe.naver.com/choiyun41 2
 
2.9%
https://cafe.daum.net/aygoodworld 1
 
1.5%
http://www.sebommental.co.kr 1
 
1.5%
http://www.yire.or.kr 1
 
1.5%
Other values (27) 27
39.7%
2024-03-13T08:28:59.026155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 174
 
11.0%
/ 170
 
10.7%
. 140
 
8.8%
t 118
 
7.4%
r 91
 
5.7%
o 80
 
5.1%
h 71
 
4.5%
p 64
 
4.0%
e 57
 
3.6%
a 51
 
3.2%
Other values (43) 568
35.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1039
65.6%
Other Punctuation 358
 
22.6%
Decimal Number 153
 
9.7%
Connector Punctuation 18
 
1.1%
Uppercase Letter 12
 
0.8%
Other Letter 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 174
16.7%
t 118
11.4%
r 91
 
8.8%
o 80
 
7.7%
h 71
 
6.8%
p 64
 
6.2%
e 57
 
5.5%
a 51
 
4.9%
n 46
 
4.4%
k 44
 
4.2%
Other values (15) 243
23.4%
Decimal Number
ValueCountFrequency (%)
0 47
30.7%
1 38
24.8%
9 18
 
11.8%
4 15
 
9.8%
3 12
 
7.8%
2 9
 
5.9%
5 6
 
3.9%
6 4
 
2.6%
7 3
 
2.0%
8 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
J 2
16.7%
S 2
16.7%
U 1
8.3%
E 1
8.3%
R 1
8.3%
D 1
8.3%
L 1
8.3%
O 1
8.3%
W 1
8.3%
B 1
8.3%
Other Punctuation
ValueCountFrequency (%)
/ 170
47.5%
. 140
39.1%
: 48
 
13.4%
Other Letter
ValueCountFrequency (%)
목 1
33.3%
밭 1
33.3%
화 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1051
66.4%
Common 530
33.5%
Hangul 3
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 174
16.6%
t 118
11.2%
r 91
 
8.7%
o 80
 
7.6%
h 71
 
6.8%
p 64
 
6.1%
e 57
 
5.4%
a 51
 
4.9%
n 46
 
4.4%
k 44
 
4.2%
Other values (25) 255
24.3%
Common
ValueCountFrequency (%)
/ 170
32.1%
. 140
26.4%
: 48
 
9.1%
0 47
 
8.9%
1 38
 
7.2%
_ 18
 
3.4%
9 18
 
3.4%
4 15
 
2.8%
3 12
 
2.3%
2 9
 
1.7%
Other values (5) 15
 
2.8%
Hangul
ValueCountFrequency (%)
목 1
33.3%
밭 1
33.3%
화 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1581
99.8%
Hangul 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 174
 
11.0%
/ 170
 
10.8%
. 140
 
8.9%
t 118
 
7.5%
r 91
 
5.8%
o 80
 
5.1%
h 71
 
4.5%
p 64
 
4.0%
e 57
 
3.6%
a 51
 
3.2%
Other values (40) 565
35.7%
Hangul
ValueCountFrequency (%)
목 1
33.3%
밭 1
33.3%
화 1
33.3%

Interactions

2024-03-13T08:28:55.264278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:28:54.704193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:28:54.887665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:28:55.329705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:28:54.762469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:28:54.944286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:28:55.408050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:28:54.820380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:28:55.000888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:28:59.105528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
시군명1.0001.0001.0001.0000.9940.9510.9491.0000.879
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호0.9941.0001.0001.0001.0000.8700.8401.0000.844
WGS84위도0.9511.0001.0001.0000.8701.0000.7791.0000.750
WGS84경도0.9491.0001.0001.0000.8400.7791.0001.0000.856
전화번호1.0001.0001.0001.0001.0001.0001.0001.0000.998
홈페이지URL0.8791.0001.0001.0000.8440.7500.8560.9981.000
2024-03-13T08:28:59.197523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명
소재지우편번호1.000-0.9480.4330.876
WGS84위도-0.9481.000-0.4590.710
WGS84경도0.433-0.4591.0000.705
시군명0.8760.7100.7051.000

Missing values

2024-03-13T08:28:55.520749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:28:55.619680image/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

시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
0고양시기쁨해경기도 고양시 덕양구 고양동 1132번지 그린파크 103동 502호경기도 고양시 덕양구 푸른마을로 33-9 그린파크 103동 502호1027037.711173126.903909031-813-3031http://kpr.or.kr/
1고양시삶센터경기도 고양시 일산동구 백석동 1308번지 남정씨티프라자 414호경기도 고양시 일산동구 일산로46, 414호1044937.642344126.787904031-904-5705www.
2고양시새희망둥지경기도 고양시 일산동구 설문동 701-3번지경기도 고양시 일산동구 상지석길 4431024537.726369126.795962031-977-9780http://cafe.daum.net/doonggee
3고양시일산그리다마음건강센터경기도 고양시 일산서구 일산동 655-15번지 이안아파트 4층 408호경기도 고양시 일산서구 고양대로 632번길 60, 4층 408호1035237.683822126.768533031-977-3324https://blog.naver.com/ilsangrida
4고양시카프이용센터경기도 고양시 일산동구 백석동 1241번지경기도 고양시 일산동구 일산로 861045037.645157126.791062031-810-9251http://www.karfcenter.or.kr/
5군포시우리동네경기도 군포시 금정동 173-1번지 명지빌라경기도 군포시 공단로 214번길 9-71584137.365355126.948926070-7776-4160www.
6김포시바람숲경기도 김포시 통진읍 서암리 496-1번지 형우 이즈뷰경기도 김포시 대서명로 8번길 21, 형우 이즈뷰 나동(통진읍 서암리 496-1)1001637.697803126.606597031-989-5556www.baramsoop.or.kr
7남양주시목화밭경기도 남양주시 금곡동 168번지 금성리츠빌 B동 201호경기도 남양주시 경춘로양골2길11-6(금곡동 168번지) 금성리츠빌 B동 201호1223237.637512127.213786031-595-5068www.목화밭.kr
8남양주시푸른샘경기도 남양주시 진건읍 사능리 624-8번지 2층경기도 남양주시 진건오남로 42번길19-19 2층1213837.65488127.1815031-510-9203www.
9부천시동광임파워먼트경기도 부천시 원미구 상동 408-5번지경기도 부천시 원미구 부일로 191번길 301459837.489983126.751571032-323-3206http://www.empowerment.or.kr/
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
58평택시나무경기도 평택시 합정동 762-7번지 6층경기도 평택시 평택4로 39, 6층1790736.991589127.100072031-647-0909http://kpr.or.kr/
59평택시좋은날경기도 평택시 합정동 744-12번지 가원빌라 가동 301호경기도 평택시 통미로 18 가원빌라 가동 301호1790836.992194127.095102031-618-7293http://kpr.or.kr/
60평택시해피하우스경기도 평택시 비전동 621-5번지 하애빌라 2동 103호경기도 평택시 성동로11번길 20-11 하애빌라 2동 103호1789636.995408127.091241031-657-6223http://kpr.or.kr/
61포천시라온경기도 포천시 선단동 819-52번지 엘리트빌리지 가동경기도 포천시 삼육사로 2029 엘리트빌리지 가동1116037.862314127.14514031-542-9500www.laon.or.kr
62포천시헤세드하우스경기도 포천시 소흘읍 직동리 389-2번지경기도 포천시 소홀읍 광릉수목원로 6641118637.772003127.163762031-541-7191http://cafe.daum.net/JESUS-Jireh
63화성시길벗경기도 화성시 진안동 525-107번지 201호경기도 화성시 병점로 17-7, 201호1840137.209384127.036434031-898-7951http://kpr.or.kr/
64화성시남양집경기도 화성시 금곡동 557-36번지 남양빌라 101호경기도 화성시 금곡로 68-6 남양빌라 101호1851137.16678127.078944031-376-0797http://www.ksh1995.org/
65화성시사랑나눔경기도 화성시 봉담읍 당하리 97번지 일주빌리 1동 101호경기도 화성시 복만터길 72번길 7-18 일주빌리 1동 101호1833537.183585126.942329070-8223-2816http://kpr.or.kr/
66화성시사랑밭경기도 화성시 반송동 236번지경기도 화성시 10용사로 661-691845837.190247127.082588031-376-5690http://www.sarangbat.or.kr/
67화성시해바라기경기도 화성시 병점동 345-90번지 태림빌라 다동 101호경기도 화성시 병점3로 38-2, 태림빌라다동 101호1841137.208063127.037671031-376-3261http://www.ksh1995.org/