Overview

Dataset statistics

Number of variables10
Number of observations50
Missing cells4
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory85.6 B

Variable types

Categorical2
Text5
Numeric3

Dataset

Description장애인 관련 시설 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=347LEGQP3MV3ON8S4VHU26319760&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
소재지지번주소 has 1 (2.0%) missing valuesMissing
소재지우편번호 has 1 (2.0%) missing valuesMissing
WGS84위도 has 1 (2.0%) missing valuesMissing
WGS84경도 has 1 (2.0%) missing valuesMissing
기관명 has unique valuesUnique
전화번호정보 has unique valuesUnique

Reproduction

Analysis started2024-04-11 03:01:07.212779
Analysis finished2024-04-11 03:01:10.086278
Duration2.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
수원시
화성시
용인시
성남시
의정부시
Other values (18)
24 

Length

Max length4
Median length3
Mean length3.06
Min length3

Unique

Unique13 ?
Unique (%)26.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 9
18.0%
화성시 6
12.0%
용인시 5
 
10.0%
성남시 3
 
6.0%
의정부시 3
 
6.0%
양평군 3
 
6.0%
고양시 2
 
4.0%
의왕시 2
 
4.0%
안성시 2
 
4.0%
광명시 2
 
4.0%
Other values (13) 13
26.0%

Length

2024-04-11T12:01:10.143612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 9
18.0%
화성시 6
12.0%
용인시 5
 
10.0%
성남시 3
 
6.0%
의정부시 3
 
6.0%
양평군 3
 
6.0%
고양시 2
 
4.0%
의왕시 2
 
4.0%
안성시 2
 
4.0%
광명시 2
 
4.0%
Other values (13) 13
26.0%

기관명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-11T12:01:10.323040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length11.58
Min length8

Characters and Unicode

Total characters579
Distinct characters102
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

Unique50 ?
Unique (%)100.0%

Sample

1st row고양시발달장애인지원센터
2nd row고양시장애인가족지원센터
3rd row광명시장애인가족지원센터
4th row광명언어심리발달센터
5th row구리시장애인가족지원센터
ValueCountFrequency (%)
고양시발달장애인지원센터 1
 
1.9%
경기도발달장애인지원센터 1
 
1.9%
한국발도르프특수교육지원센터 1
 
1.9%
장안장애아동재활센터 1
 
1.9%
여주시장애인가족지원센터 1
 
1.9%
연천군장애인가족지원센터 1
 
1.9%
오산시장애아재활치료교육센터 1
 
1.9%
그린나래발달센터 1
 
1.9%
마음드림심리상담센터 1
 
1.9%
예지원가족발달센터 1
 
1.9%
Other values (42) 42
80.8%
2024-04-11T12:01:10.637768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
7.9%
46
 
7.9%
41
 
7.1%
40
 
6.9%
32
 
5.5%
28
 
4.8%
27
 
4.7%
27
 
4.7%
20
 
3.5%
20
 
3.5%
Other values (92) 252
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 575
99.3%
Space Separator 2
 
0.3%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
46
 
8.0%
46
 
8.0%
41
 
7.1%
40
 
7.0%
32
 
5.6%
28
 
4.9%
27
 
4.7%
27
 
4.7%
20
 
3.5%
20
 
3.5%
Other values (89) 248
43.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 575
99.3%
Common 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
46
 
8.0%
46
 
8.0%
41
 
7.1%
40
 
7.0%
32
 
5.6%
28
 
4.9%
27
 
4.7%
27
 
4.7%
20
 
3.5%
20
 
3.5%
Other values (89) 248
43.1%
Common
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 575
99.3%
ASCII 4
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
46
 
8.0%
46
 
8.0%
41
 
7.1%
40
 
7.0%
32
 
5.6%
28
 
4.9%
27
 
4.7%
27
 
4.7%
20
 
3.5%
20
 
3.5%
Other values (89) 248
43.1%
ASCII
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

소재지지번주소
Text

MISSING 

Distinct48
Distinct (%)98.0%
Missing1
Missing (%)2.0%
Memory size532.0 B
2024-04-11T12:01:10.928041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length26.020408
Min length16

Characters and Unicode

Total characters1275
Distinct characters148
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

Unique47 ?
Unique (%)95.9%

Sample

1st row경기도 고양시 덕양구 주교동 591번지
2nd row경기도 고양시 덕양구 주교동 591번지
3rd row경기도 광명시 하안동 302-11번지
4th row경기도 광명시 소하동 1338-1번지 6층
5th row경기도 구리시 수택동 851번지 2층
ValueCountFrequency (%)
경기도 49
 
18.0%
수원시 9
 
3.3%
권선구 8
 
2.9%
2층 6
 
2.2%
화성시 6
 
2.2%
용인시 5
 
1.8%
3층 4
 
1.5%
677번지 3
 
1.1%
오목천동 3
 
1.1%
성남시 3
 
1.1%
Other values (153) 176
64.7%
2024-04-11T12:01:11.347804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
223
 
17.5%
55
 
4.3%
54
 
4.2%
53
 
4.2%
1 52
 
4.1%
52
 
4.1%
49
 
3.8%
47
 
3.7%
45
 
3.5%
2 39
 
3.1%
Other values (138) 606
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 770
60.4%
Decimal Number 248
 
19.5%
Space Separator 223
 
17.5%
Dash Punctuation 32
 
2.5%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
55
 
7.1%
54
 
7.0%
53
 
6.9%
52
 
6.8%
49
 
6.4%
47
 
6.1%
45
 
5.8%
23
 
3.0%
15
 
1.9%
13
 
1.7%
Other values (125) 364
47.3%
Decimal Number
ValueCountFrequency (%)
1 52
21.0%
2 39
15.7%
0 29
11.7%
3 26
10.5%
5 23
9.3%
6 19
 
7.7%
8 18
 
7.3%
7 15
 
6.0%
9 14
 
5.6%
4 13
 
5.2%
Space Separator
ValueCountFrequency (%)
223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 770
60.4%
Common 505
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
55
 
7.1%
54
 
7.0%
53
 
6.9%
52
 
6.8%
49
 
6.4%
47
 
6.1%
45
 
5.8%
23
 
3.0%
15
 
1.9%
13
 
1.7%
Other values (125) 364
47.3%
Common
ValueCountFrequency (%)
223
44.2%
1 52
 
10.3%
2 39
 
7.7%
- 32
 
6.3%
0 29
 
5.7%
3 26
 
5.1%
5 23
 
4.6%
6 19
 
3.8%
8 18
 
3.6%
7 15
 
3.0%
Other values (3) 29
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 770
60.4%
ASCII 505
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
223
44.2%
1 52
 
10.3%
2 39
 
7.7%
- 32
 
6.3%
0 29
 
5.7%
3 26
 
5.1%
5 23
 
4.6%
6 19
 
3.8%
8 18
 
3.6%
7 15
 
3.0%
Other values (3) 29
 
5.7%
Hangul
ValueCountFrequency (%)
55
 
7.1%
54
 
7.0%
53
 
6.9%
52
 
6.8%
49
 
6.4%
47
 
6.1%
45
 
5.8%
23
 
3.0%
15
 
1.9%
13
 
1.7%
Other values (125) 364
47.3%
Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-11T12:01:11.571112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length23.86
Min length15

Characters and Unicode

Total characters1193
Distinct characters159
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)96.0%

Sample

1st row경기도 고양시 덕양구 원당로 59번길 92
2nd row경기도 고양시 덕양구 원당로 59번길 92
3rd row경기도 광명시 오리로 653
4th row경기도 광명시 소하길 109번길 19 6층
5th row경기도 구리시 이문안로 86, 2층
ValueCountFrequency (%)
경기도 50
 
18.2%
수원시 9
 
3.3%
권선구 8
 
2.9%
화성시 6
 
2.2%
2층 6
 
2.2%
용인시 5
 
1.8%
3층 4
 
1.5%
성남시 3
 
1.1%
기흥구 3
 
1.1%
서수원로 3
 
1.1%
Other values (157) 178
64.7%
2024-04-11T12:01:11.912101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
225
18.9%
56
 
4.7%
53
 
4.4%
52
 
4.4%
1 52
 
4.4%
49
 
4.1%
43
 
3.6%
2 38
 
3.2%
3 35
 
2.9%
0 28
 
2.3%
Other values (149) 562
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 701
58.8%
Decimal Number 239
 
20.0%
Space Separator 225
 
18.9%
Other Punctuation 14
 
1.2%
Dash Punctuation 11
 
0.9%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
56
 
8.0%
53
 
7.6%
52
 
7.4%
49
 
7.0%
43
 
6.1%
23
 
3.3%
19
 
2.7%
16
 
2.3%
15
 
2.1%
14
 
2.0%
Other values (133) 361
51.5%
Decimal Number
ValueCountFrequency (%)
1 52
21.8%
2 38
15.9%
3 35
14.6%
0 28
11.7%
4 21
8.8%
6 18
 
7.5%
5 17
 
7.1%
9 14
 
5.9%
7 9
 
3.8%
8 7
 
2.9%
Space Separator
ValueCountFrequency (%)
225
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 701
58.8%
Common 491
41.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
56
 
8.0%
53
 
7.6%
52
 
7.4%
49
 
7.0%
43
 
6.1%
23
 
3.3%
19
 
2.7%
16
 
2.3%
15
 
2.1%
14
 
2.0%
Other values (133) 361
51.5%
Common
ValueCountFrequency (%)
225
45.8%
1 52
 
10.6%
2 38
 
7.7%
3 35
 
7.1%
0 28
 
5.7%
4 21
 
4.3%
6 18
 
3.7%
5 17
 
3.5%
, 14
 
2.9%
9 14
 
2.9%
Other values (5) 29
 
5.9%
Latin
ValueCountFrequency (%)
c 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 701
58.8%
ASCII 492
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
225
45.7%
1 52
 
10.6%
2 38
 
7.7%
3 35
 
7.1%
0 28
 
5.7%
4 21
 
4.3%
6 18
 
3.7%
5 17
 
3.5%
, 14
 
2.8%
9 14
 
2.8%
Other values (6) 30
 
6.1%
Hangul
ValueCountFrequency (%)
56
 
8.0%
53
 
7.6%
52
 
7.4%
49
 
7.0%
43
 
6.1%
23
 
3.3%
19
 
2.7%
16
 
2.3%
15
 
2.1%
14
 
2.0%
Other values (133) 361
51.5%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct46
Distinct (%)93.9%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean15005.592
Minimum10111
Maximum18588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-11T12:01:12.039718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10111
5-th percentile10644.2
Q112550
median16072
Q317006
95-th percentile18514
Maximum18588
Range8477
Interquartile range (IQR)4456

Descriptive statistics

Standard deviation2655.9768
Coefficient of variation (CV)0.17699913
Kurtosis-1.2833386
Mean15005.592
Median Absolute Deviation (MAD)2154
Skewness-0.33044167
Sum735274
Variance7054212.5
MonotonicityNot monotonic
2024-04-11T12:01:12.158906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
16639 3
 
6.0%
10459 2
 
4.0%
11764 1
 
2.0%
17006 1
 
2.0%
16978 1
 
2.0%
17051 1
 
2.0%
17062 1
 
2.0%
17003 1
 
2.0%
16072 1
 
2.0%
16063 1
 
2.0%
Other values (36) 36
72.0%
ValueCountFrequency (%)
10111 1
2.0%
10459 2
4.0%
10922 1
2.0%
11031 1
2.0%
11171 1
2.0%
11764 1
2.0%
11786 1
2.0%
11813 1
2.0%
11940 1
2.0%
12505 1
2.0%
ValueCountFrequency (%)
18588 1
2.0%
18583 1
2.0%
18550 1
2.0%
18460 1
2.0%
18399 1
2.0%
18301 1
2.0%
18135 1
2.0%
17899 1
2.0%
17596 1
2.0%
17561 1
2.0%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct46
Distinct (%)93.9%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean37.383665
Minimum36.99153
Maximum38.01544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-11T12:01:12.276562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.99153
5-th percentile37.027802
Q137.239396
median37.285354
Q337.516137
95-th percentile37.756617
Maximum38.01544
Range1.0239098
Interquartile range (IQR)0.27674098

Descriptive statistics

Standard deviation0.22938015
Coefficient of variation (CV)0.0061358391
Kurtosis0.066483871
Mean37.383665
Median Absolute Deviation (MAD)0.13417315
Skewness0.6102169
Sum1831.7996
Variance0.052615255
MonotonicityNot monotonic
2024-04-11T12:01:12.398772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
37.2393956779 3
 
6.0%
37.6606554336 2
 
4.0%
37.7577980643 1
 
2.0%
37.2739540026 1
 
2.0%
37.2709004844 1
 
2.0%
37.2346455808 1
 
2.0%
37.2321179695 1
 
2.0%
37.2819785867 1
 
2.0%
37.3556206901 1
 
2.0%
37.3479392804 1
 
2.0%
Other values (36) 36
72.0%
ValueCountFrequency (%)
36.9915300198 1
2.0%
36.9998454479 1
2.0%
37.0013277094 1
2.0%
37.067512737 1
2.0%
37.1368521794 1
2.0%
37.1511808817 1
2.0%
37.2070260886 1
2.0%
37.2132123381 1
2.0%
37.2143894692 1
2.0%
37.2170603625 1
2.0%
ValueCountFrequency (%)
38.015439827 1
2.0%
37.8366172156 1
2.0%
37.7577980643 1
2.0%
37.7548459669 1
2.0%
37.7450262816 1
2.0%
37.7383365005 1
2.0%
37.6606554336 2
4.0%
37.6230561834 1
2.0%
37.5917955741 1
2.0%
37.5565245155 1
2.0%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct46
Distinct (%)93.9%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean127.05242
Minimum126.72228
Maximum127.63571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-11T12:01:12.516524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.72228
5-th percentile126.77634
Q1126.95019
median127.05571
Q3127.14106
95-th percentile127.48463
Maximum127.63571
Range0.91343029
Interquartile range (IQR)0.19086689

Descriptive statistics

Standard deviation0.19607936
Coefficient of variation (CV)0.0015432949
Kurtosis1.2954793
Mean127.05242
Median Absolute Deviation (MAD)0.094587928
Skewness0.87708529
Sum6225.5687
Variance0.038447116
MonotonicityNot monotonic
2024-04-11T12:01:12.634557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
126.9728438967 3
 
6.0%
126.830346746 2
 
4.0%
127.0744248877 1
 
2.0%
127.1501984866 1
 
2.0%
127.127293569 1
 
2.0%
127.2036595284 1
 
2.0%
127.2021926191 1
 
2.0%
127.1602237494 1
 
2.0%
126.9668380017 1
 
2.0%
126.9745247038 1
 
2.0%
Other values (36) 36
72.0%
ValueCountFrequency (%)
126.7222834418 1
2.0%
126.7324609814 1
2.0%
126.7756388782 1
2.0%
126.7773931227 1
2.0%
126.7961083218 1
2.0%
126.830346746 2
4.0%
126.8473297217 1
2.0%
126.8768089223 1
2.0%
126.8849785294 1
2.0%
126.9207400284 1
2.0%
ValueCountFrequency (%)
127.63571373 1
2.0%
127.5132950178 1
2.0%
127.5037898877 1
2.0%
127.4558925542 1
2.0%
127.2812633974 1
2.0%
127.2036595284 1
2.0%
127.2021926191 1
2.0%
127.1882370777 1
2.0%
127.1703170422 1
2.0%
127.1602237494 1
2.0%

전화번호정보
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-11T12:01:12.830857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.16
Min length11

Characters and Unicode

Total characters608
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

Unique50 ?
Unique (%)100.0%

Sample

1st row031-8075-3647
2nd row031-8075-3650
3rd row02-897-7077
4th row02-898-9962
5th row031-556-0660
ValueCountFrequency (%)
031-8075-3647 1
 
2.0%
031-477-7228 1
 
2.0%
031-5189-3839 1
 
2.0%
031-885-7742 1
 
2.0%
031-833-5533 1
 
2.0%
031-375-5001 1
 
2.0%
031-679-0297 1
 
2.0%
031-286-4231 1
 
2.0%
031-322-8485 1
 
2.0%
031-333-7275 1
 
2.0%
Other values (40) 40
80.0%
2024-04-11T12:01:13.172536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 100
16.4%
0 87
14.3%
3 84
13.8%
1 75
12.3%
5 46
7.6%
7 43
7.1%
8 42
6.9%
9 39
 
6.4%
2 37
 
6.1%
6 28
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 508
83.6%
Dash Punctuation 100
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 87
17.1%
3 84
16.5%
1 75
14.8%
5 46
9.1%
7 43
8.5%
8 42
8.3%
9 39
7.7%
2 37
7.3%
6 28
 
5.5%
4 27
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 608
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 100
16.4%
0 87
14.3%
3 84
13.8%
1 75
12.3%
5 46
7.6%
7 43
7.1%
8 42
6.9%
9 39
 
6.4%
2 37
 
6.1%
6 28
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 608
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 100
16.4%
0 87
14.3%
3 84
13.8%
1 75
12.3%
5 46
7.6%
7 43
7.1%
8 42
6.9%
9 39
 
6.4%
2 37
 
6.1%
6 28
 
4.6%
Distinct41
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-11T12:01:13.376004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length44
Mean length24.92
Min length4

Characters and Unicode

Total characters1246
Distinct characters44
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)78.0%

Sample

1st rowwww.
2nd rowwww.
3rd rowwww.gmfamily.or.kr
4th rowhttps://blog.naver.com/gmcenter0414
5th rowwww.gurifamily.or.kr
ValueCountFrequency (%)
www 9
 
18.0%
https://www.dongnam.ac.kr/sanhak/1374/subview.do 2
 
4.0%
http://www.pcfamily.kr/main/index.php 1
 
2.0%
http://www.xn--jk1b49av7g2bwcu34dwyaw2h69mw1y.ct.do 1
 
2.0%
www.ypfamily.or.kr 1
 
2.0%
http://www.ewhajaram.com/default 1
 
2.0%
http://www.uwkids.or.kr 1
 
2.0%
http://camphill.or.kr 1
 
2.0%
http://www.yjdf.or.kr 1
 
2.0%
https://www.facebook.com/ycjang1004 1
 
2.0%
Other values (31) 31
62.0%
2024-04-11T12:01:13.693743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 127
 
10.2%
. 123
 
9.9%
/ 111
 
8.9%
t 80
 
6.4%
r 75
 
6.0%
o 64
 
5.1%
a 59
 
4.7%
p 54
 
4.3%
h 51
 
4.1%
s 42
 
3.4%
Other values (34) 460
36.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 914
73.4%
Other Punctuation 272
 
21.8%
Decimal Number 45
 
3.6%
Connector Punctuation 5
 
0.4%
Math Symbol 5
 
0.4%
Uppercase Letter 3
 
0.2%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 127
13.9%
t 80
 
8.8%
r 75
 
8.2%
o 64
 
7.0%
a 59
 
6.5%
p 54
 
5.9%
h 51
 
5.6%
s 42
 
4.6%
k 41
 
4.5%
i 37
 
4.0%
Other values (14) 284
31.1%
Decimal Number
ValueCountFrequency (%)
1 13
28.9%
4 7
15.6%
0 6
13.3%
3 6
13.3%
7 3
 
6.7%
2 3
 
6.7%
5 2
 
4.4%
6 2
 
4.4%
9 2
 
4.4%
8 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 123
45.2%
/ 111
40.8%
: 33
 
12.1%
? 4
 
1.5%
& 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 2
66.7%
I 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Math Symbol
ValueCountFrequency (%)
= 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 917
73.6%
Common 329
 
26.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 127
13.8%
t 80
 
8.7%
r 75
 
8.2%
o 64
 
7.0%
a 59
 
6.4%
p 54
 
5.9%
h 51
 
5.6%
s 42
 
4.6%
k 41
 
4.5%
i 37
 
4.0%
Other values (16) 287
31.3%
Common
ValueCountFrequency (%)
. 123
37.4%
/ 111
33.7%
: 33
 
10.0%
1 13
 
4.0%
4 7
 
2.1%
0 6
 
1.8%
3 6
 
1.8%
_ 5
 
1.5%
= 5
 
1.5%
? 4
 
1.2%
Other values (8) 16
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 127
 
10.2%
. 123
 
9.9%
/ 111
 
8.9%
t 80
 
6.4%
r 75
 
6.0%
o 64
 
5.1%
a 59
 
4.7%
p 54
 
4.3%
h 51
 
4.1%
s 42
 
3.4%
Other values (34) 460
36.9%

비고
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
재활치료시설
24 
가족지원센터
19 
인권센터
발달장애인지원센터
 
2
장애인권익옹호기관
 
2

Length

Max length9
Median length6
Mean length6.12
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row발달장애인지원센터
2nd row가족지원센터
3rd row가족지원센터
4th row재활치료시설
5th row가족지원센터

Common Values

ValueCountFrequency (%)
재활치료시설 24
48.0%
가족지원센터 19
38.0%
인권센터 3
 
6.0%
발달장애인지원센터 2
 
4.0%
장애인권익옹호기관 2
 
4.0%

Length

2024-04-11T12:01:13.810765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:01:13.901570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재활치료시설 24
48.0%
가족지원센터 19
38.0%
인권센터 3
 
6.0%
발달장애인지원센터 2
 
4.0%
장애인권익옹호기관 2
 
4.0%

Interactions

2024-04-11T12:01:09.559859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:01:09.073601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:01:09.337588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:01:09.628135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:01:09.191308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:01:09.410368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:01:09.698302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:01:09.264930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:01:09.480811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T12:01:13.990246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호정보홈페이지URL비고
시군명1.0001.0001.0001.0000.9860.9770.9351.0000.9710.143
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0000.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0000.000
소재지우편번호0.9861.0001.0001.0001.0000.7700.8751.0000.6530.545
WGS84위도0.9771.0001.0001.0000.7701.0000.2921.0000.9560.208
WGS84경도0.9351.0001.0001.0000.8750.2921.0001.0000.7490.000
전화번호정보1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지URL0.9711.0001.0001.0000.6530.9560.7491.0001.0000.000
비고0.1431.0000.0000.0000.5450.2080.0001.0000.0001.000
2024-04-11T12:01:14.311025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고시군명
비고1.0000.000
시군명0.0001.000
2024-04-11T12:01:14.377259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명비고
소재지우편번호1.000-0.9480.0060.7510.303
WGS84위도-0.9481.000-0.0470.7230.052
WGS84경도0.006-0.0471.0000.5960.000
시군명0.7510.7230.5961.0000.000
비고0.3030.0520.0000.0001.000

Missing values

2024-04-11T12:01:09.795563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T12:01:09.927766image/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.
2024-04-11T12:01:10.030144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호정보홈페이지URL비고
0고양시고양시발달장애인지원센터경기도 고양시 덕양구 주교동 591번지경기도 고양시 덕양구 원당로 59번길 921045937.660655126.830347031-8075-3647www.발달장애인지원센터
1고양시고양시장애인가족지원센터경기도 고양시 덕양구 주교동 591번지경기도 고양시 덕양구 원당로 59번길 921045937.660655126.830347031-8075-3650www.가족지원센터
2광명시광명시장애인가족지원센터경기도 광명시 하안동 302-11번지경기도 광명시 오리로 6531430337.459406126.87680902-897-7077www.gmfamily.or.kr가족지원센터
3광명시광명언어심리발달센터경기도 광명시 소하동 1338-1번지 6층경기도 광명시 소하길 109번길 19 6층1431637.44765126.88497902-898-9962https://blog.naver.com/gmcenter0414재활치료시설
4구리시구리시장애인가족지원센터경기도 구리시 수택동 851번지 2층경기도 구리시 이문안로 86, 2층1194037.591796127.141059031-556-0660www.gurifamily.or.kr가족지원센터
5김포시김포시장애아동재활센터경기도 김포시 사우동 870번지경기도 김포시 사우중로1001011137.623056126.722283031-989-8662http://gpwc.or.kr/bbs/content.php?co_id=gpwc재활치료시설
6부천시부천시장애인인권센터경기도 부천시 오정구 내동 60번지 장애인회관 203호경기도 부천시 신흥로 364 203호1449137.516137126.775639032-625-9710www.인권센터
7성남시성남시장애인가족지원센터경기도 성남시 수정구 태평동 5113-9번지 3층경기도 성남시 수정구 성남대로 1334 3층1330637.44886127.127147031-753-7926https://snfs.modoo.at/가족지원센터
8성남시성남시장애인권리증진센터경기도 성남시 분당구 야탑동 171번지경기도 성남시 분당구 야탑로 2271350837.408224127.14414031-725-9507http://sungjangin.org인권센터
9성남시스스로아동발달센터경기도 성남시 분당구 정자동 6번지 상가동 2층 211, 212호경기도 성남시 정자일로248 상가동 2층 211, 212호1355437.375726127.105948031-606-9952https://www.ssroi.co.kr/재활치료시설
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호정보홈페이지URL비고
40파주시파주시장애인가족지원센터경기도 파주시 금촌동 108-64번지 장애인회관 2층경기도 파주시 황골로 74-13 장애인회관 2층1092237.754846126.777393031-945-8050http://www.pjfamily.co.kr/가족지원센터
41평택시평택시장애인가족지원센터경기도 평택시 비전동 766-3번지경기도 평택시 평남로 6451789936.99153127.106781031-8054-7979http://ptfamily.or.kr/가족지원센터
42포천시포천시장애인가족지원센터경기도 포천시 소흘읍 송우리 589-14번지경기도 포천시 소홀읍 송우로132번길 541117137.836617127.133114031-544-9195http://www.pcfamily.kr/main/index.php가족지원센터
43하남시하남시장애인가족지원센터경기도 하남시 풍산동 507-3번지 메인프라자 3층 310호경기도 하남시 미사강변대로34번길 90, 3층 310호1291937.556525127.188237031-795-8007https://hanam.familynet.or.kr/center/index.do가족지원센터
44화성시동부장애아동재활센터경기도 화성시 진안동 862-3번지 2층경기도 화성시 병점4로 58, 2층1839937.214389127.037215031-221-3564www.재활치료시설
45화성시동탄장애아동재활센터경기도 화성시 석우동 60번지경기도 화성시 노작로 226-91846037.207026127.078563031-5189-4365www.재활치료시설
46화성시봉담장애아동재활센터경기도 화성시 봉담읍 동화리 614번지 2층경기도 화성시 동화새터길 109, 2층1830137.21706126.96112031-5189-3451www.재활치료시설
47화성시송산장애아동재활센터경기도 화성시 송산면 사강리 711-2번지경기도 화성시 송산면 사강시장길 261855037.213212126.732461031-5189-2898https://www.dongnam.ac.kr/sanhak/1374/subview.do재활치료시설
48화성시장안장애아동재활센터경기도 화성시 장안면 독정리 933-1번지경기도 화성시 장안면 포승장안로12191858337.067513126.84733031-5189-3839https://www.dongnam.ac.kr/sanhak/1374/subview.do재활치료시설
49화성시화성시장애인가족지원센터경기도 화성시 향남읍 도이리 220-20번지 화성시아르딤복지관 협회동 301호경기도 화성시 향남읍 도이1길 104 화성시아르딤복지관 협회동 301호1858837.136852126.92074031-8059-3556http://www.hsfamily.or.kr/가족지원센터