Overview

Dataset statistics

Number of variables10
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory89.0 B

Variable types

Categorical2
Text5
Numeric3

Dataset

Description장애인 단체 협회 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=C7TI6UDFIUCUFZFOAL8X26301249&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
전화번호 has unique valuesUnique
홈페이지URL has unique valuesUnique

Reproduction

Analysis started2024-04-11 02:10:40.803656
Analysis finished2024-04-11 02:10:43.441679
Duration2.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
수원시
17 
고양시
 
1
군포시
 
1
안양시
 
1
용인시
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique5 ?
Unique (%)22.7%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 17
77.3%
고양시 1
 
4.5%
군포시 1
 
4.5%
안양시 1
 
4.5%
용인시 1
 
4.5%
평택시 1
 
4.5%

Length

2024-04-11T11:10:43.497288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:10:43.590022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수원시 17
77.3%
고양시 1
 
4.5%
군포시 1
 
4.5%
안양시 1
 
4.5%
용인시 1
 
4.5%
평택시 1
 
4.5%

기관명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-11T11:10:43.741376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length13.818182
Min length10

Characters and Unicode

Total characters304
Distinct characters59
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row한국지적발달장애인복지협회 경기도 협회
2nd row사단)경기도시각장애인연합회
3rd row경기도장애인복지시설연합회
4th row경기도장애인재활협회
5th row경기도장애인정보화협회
ValueCountFrequency (%)
경기도협회 7
 
20.0%
경기협회 2
 
5.7%
한국지적발달장애인복지협회 1
 
2.9%
한국교통장애인경기도협회 1
 
2.9%
한국척수장애인협회 1
 
2.9%
한국신체장애인복지회 1
 
2.9%
한국지체장애인협회 1
 
2.9%
한국장애인주간보호시설협회 1
 
2.9%
경기도지회 1
 
2.9%
한국장애인부모회 1
 
2.9%
Other values (18) 18
51.4%
2024-04-11T11:10:44.001881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 31
 
10.2%
협 24
 
7.9%
기 21
 
6.9%
경 21
 
6.9%
장 20
 
6.6%
인 20
 
6.6%
도 19
 
6.2%
애 19
 
6.2%
한 13
 
4.3%
13
 
4.3%
Other values (49) 103
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
94.4%
Space Separator 13
 
4.3%
Close Punctuation 4
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 31
 
10.8%
협 24
 
8.4%
기 21
 
7.3%
경 21
 
7.3%
장 20
 
7.0%
인 20
 
7.0%
도 19
 
6.6%
애 19
 
6.6%
한 13
 
4.5%
국 12
 
4.2%
Other values (47) 87
30.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
94.4%
Common 17
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 31
 
10.8%
협 24
 
8.4%
기 21
 
7.3%
경 21
 
7.3%
장 20
 
7.0%
인 20
 
7.0%
도 19
 
6.6%
애 19
 
6.6%
한 13
 
4.5%
국 12
 
4.2%
Other values (47) 87
30.3%
Common
ValueCountFrequency (%)
13
76.5%
) 4
 
23.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
94.4%
ASCII 17
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 31
 
10.8%
협 24
 
8.4%
기 21
 
7.3%
경 21
 
7.3%
장 20
 
7.0%
인 20
 
7.0%
도 19
 
6.6%
애 19
 
6.6%
한 13
 
4.5%
국 12
 
4.2%
Other values (47) 87
30.3%
ASCII
ValueCountFrequency (%)
13
76.5%
) 4
 
23.5%

소재지지번주소
Text

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-11T11:10:44.175926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length23.090909
Min length20

Characters and Unicode

Total characters508
Distinct characters64
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

Unique14 ?
Unique (%)63.6%

Sample

1st row경기도 고양시 덕양구 주교동 583-3번지 대양빌라
2nd row경기도 수원시 팔달구 우만동 527-34번지
3rd row경기도 수원시 권선구 오목천동 677번지
4th row경기도 수원시 권선구 권선동 1250번지
5th row경기도 수원시 장안구 조원동 729-16번지
ValueCountFrequency (%)
경기도 22
19.6%
수원시 18
16.1%
권선구 11
 
9.8%
오목천동 8
 
7.1%
677번지 8
 
7.1%
장안구 4
 
3.6%
팔달구 3
 
2.7%
우만동 2
 
1.8%
조원동 2
 
1.8%
436-19번지 1
 
0.9%
Other values (33) 33
29.5%
2024-04-11T11:10:44.440414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
17.7%
기 23
 
4.5%
시 22
 
4.3%
지 22
 
4.3%
번 22
 
4.3%
구 22
 
4.3%
경 22
 
4.3%
도 22
 
4.3%
동 21
 
4.1%
7 20
 
3.9%
Other values (54) 222
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 327
64.4%
Space Separator 90
 
17.7%
Decimal Number 82
 
16.1%
Dash Punctuation 9
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 23
 
7.0%
시 22
 
6.7%
지 22
 
6.7%
번 22
 
6.7%
구 22
 
6.7%
경 22
 
6.7%
도 22
 
6.7%
동 21
 
6.4%
원 20
 
6.1%
수 18
 
5.5%
Other values (42) 113
34.6%
Decimal Number
ValueCountFrequency (%)
7 20
24.4%
6 12
14.6%
2 11
13.4%
1 10
12.2%
5 9
11.0%
9 5
 
6.1%
4 5
 
6.1%
0 4
 
4.9%
3 4
 
4.9%
8 2
 
2.4%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 327
64.4%
Common 181
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 23
 
7.0%
시 22
 
6.7%
지 22
 
6.7%
번 22
 
6.7%
구 22
 
6.7%
경 22
 
6.7%
도 22
 
6.7%
동 21
 
6.4%
원 20
 
6.1%
수 18
 
5.5%
Other values (42) 113
34.6%
Common
ValueCountFrequency (%)
90
49.7%
7 20
 
11.0%
6 12
 
6.6%
2 11
 
6.1%
1 10
 
5.5%
5 9
 
5.0%
- 9
 
5.0%
9 5
 
2.8%
4 5
 
2.8%
0 4
 
2.2%
Other values (2) 6
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 327
64.4%
ASCII 181
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
49.7%
7 20
 
11.0%
6 12
 
6.6%
2 11
 
6.1%
1 10
 
5.5%
5 9
 
5.0%
- 9
 
5.0%
9 5
 
2.8%
4 5
 
2.8%
0 4
 
2.2%
Other values (2) 6
 
3.3%
Hangul
ValueCountFrequency (%)
기 23
 
7.0%
시 22
 
6.7%
지 22
 
6.7%
번 22
 
6.7%
구 22
 
6.7%
경 22
 
6.7%
도 22
 
6.7%
동 21
 
6.4%
원 20
 
6.1%
수 18
 
5.5%
Other values (42) 113
34.6%

소재지도로명주소
Text

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-11T11:10:44.598604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length21.090909
Min length18

Characters and Unicode

Total characters464
Distinct characters56
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

Unique14 ?
Unique (%)63.6%

Sample

1st row경기도 고양시 덕양구 마상로114번길 22
2nd row경기도 수원시 팔달구 팔달문로 135
3rd row경기도 수원시 권선구 서수원로 130
4th row경기도 수원시 권선구 권중로50번길 8-39
5th row경기도 수원시 장안구 조원로112번길 2
ValueCountFrequency (%)
경기도 22
20.0%
수원시 18
16.4%
권선구 11
 
10.0%
서수원로 8
 
7.3%
130 8
 
7.3%
장안구 4
 
3.6%
팔달구 3
 
2.7%
팔달로237번길 1
 
0.9%
9 1
 
0.9%
산업로 1
 
0.9%
Other values (33) 33
30.0%
2024-04-11T11:10:44.865470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
19.0%
수 28
 
6.0%
원 27
 
5.8%
경 24
 
5.2%
기 23
 
5.0%
구 22
 
4.7%
도 22
 
4.7%
시 22
 
4.7%
로 21
 
4.5%
1 21
 
4.5%
Other values (46) 166
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 292
62.9%
Space Separator 88
 
19.0%
Decimal Number 80
 
17.2%
Dash Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 28
 
9.6%
원 27
 
9.2%
경 24
 
8.2%
기 23
 
7.9%
구 22
 
7.5%
도 22
 
7.5%
시 22
 
7.5%
로 21
 
7.2%
권 12
 
4.1%
선 11
 
3.8%
Other values (34) 80
27.4%
Decimal Number
ValueCountFrequency (%)
1 21
26.2%
3 16
20.0%
0 11
13.8%
2 9
11.2%
5 6
 
7.5%
4 5
 
6.2%
8 4
 
5.0%
9 4
 
5.0%
7 3
 
3.8%
6 1
 
1.2%
Space Separator
ValueCountFrequency (%)
88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 292
62.9%
Common 172
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 28
 
9.6%
원 27
 
9.2%
경 24
 
8.2%
기 23
 
7.9%
구 22
 
7.5%
도 22
 
7.5%
시 22
 
7.5%
로 21
 
7.2%
권 12
 
4.1%
선 11
 
3.8%
Other values (34) 80
27.4%
Common
ValueCountFrequency (%)
88
51.2%
1 21
 
12.2%
3 16
 
9.3%
0 11
 
6.4%
2 9
 
5.2%
5 6
 
3.5%
4 5
 
2.9%
8 4
 
2.3%
- 4
 
2.3%
9 4
 
2.3%
Other values (2) 4
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 292
62.9%
ASCII 172
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88
51.2%
1 21
 
12.2%
3 16
 
9.3%
0 11
 
6.4%
2 9
 
5.2%
5 6
 
3.5%
4 5
 
2.9%
8 4
 
2.3%
- 4
 
2.3%
9 4
 
2.3%
Other values (2) 4
 
2.3%
Hangul
ValueCountFrequency (%)
수 28
 
9.6%
원 27
 
9.2%
경 24
 
8.2%
기 23
 
7.9%
구 22
 
7.5%
도 22
 
7.5%
시 22
 
7.5%
로 21
 
7.2%
권 12
 
4.1%
선 11
 
3.8%
Other values (34) 80
27.4%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16201.636
Minimum10459
Maximum18000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-11T11:10:44.959376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10459
5-th percentile14199.35
Q116288.5
median16597.5
Q316639
95-th percentile16988.1
Maximum18000
Range7541
Interquartile range (IQR)350.5

Descriptive statistics

Standard deviation1436.4072
Coefficient of variation (CV)0.088658158
Kurtosis13.179581
Mean16201.636
Median Absolute Deviation (MAD)153
Skewness-3.3862877
Sum356436
Variance2063265.8
MonotonicityNot monotonic
2024-04-11T11:10:45.049530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
16639 8
36.4%
16239 2
 
9.1%
10459 1
 
4.5%
16556 1
 
4.5%
16282 1
 
4.5%
16336 1
 
4.5%
16481 1
 
4.5%
16408 1
 
4.5%
16308 1
 
4.5%
16270 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
10459 1
4.5%
14092 1
4.5%
16239 2
9.1%
16270 1
4.5%
16282 1
4.5%
16308 1
4.5%
16336 1
4.5%
16408 1
4.5%
16481 1
4.5%
16556 1
4.5%
ValueCountFrequency (%)
18000 1
 
4.5%
17006 1
 
4.5%
16648 1
 
4.5%
16639 8
36.4%
16556 1
 
4.5%
16481 1
 
4.5%
16408 1
 
4.5%
16336 1
 
4.5%
16308 1
 
4.5%
16282 1
 
4.5%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.282423
Minimum36.978654
Maximum37.659743
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-11T11:10:45.146044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.978654
5-th percentile37.239181
Q137.239181
median37.272973
Q337.295628
95-th percentile37.43591
Maximum37.659743
Range0.68108855
Interquartile range (IQR)0.056446208

Descriptive statistics

Standard deviation0.11682683
Coefficient of variation (CV)0.0031335632
Kurtosis6.5674042
Mean37.282423
Median Absolute Deviation (MAD)0.032176895
Skewness0.98470232
Sum820.21331
Variance0.013648508
MonotonicityNot monotonic
2024-04-11T11:10:45.248771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
37.23918139 7
31.8%
37.65974303 1
 
4.5%
37.2981552 1
 
4.5%
36.97865448 1
 
4.5%
37.27390956 1
 
4.5%
37.38619235 1
 
4.5%
37.24241103 1
 
4.5%
37.43852715 1
 
4.5%
37.28804479 1
 
4.5%
37.27663984 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
36.97865448 1
 
4.5%
37.23918139 7
31.8%
37.24241103 1
 
4.5%
37.2536529 1
 
4.5%
37.27203665 1
 
4.5%
37.27390956 1
 
4.5%
37.27663984 1
 
4.5%
37.2824585 1
 
4.5%
37.28315229 1
 
4.5%
37.28804479 1
 
4.5%
ValueCountFrequency (%)
37.65974303 1
4.5%
37.43852715 1
4.5%
37.38619235 1
4.5%
37.30314755 1
4.5%
37.30231981 1
4.5%
37.2981552 1
4.5%
37.28804479 1
4.5%
37.28315229 1
4.5%
37.2824585 1
4.5%
37.27663984 1
4.5%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.00024
Minimum126.8349
Maximum127.15013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-11T11:10:45.358480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.8349
5-th percentile126.9333
Q1126.97248
median126.98334
Q3127.02905
95-th percentile127.12136
Maximum127.15013
Range0.3152276
Interquartile range (IQR)0.05657435

Descriptive statistics

Standard deviation0.063493444
Coefficient of variation (CV)0.00049994743
Kurtosis2.5139322
Mean127.00024
Median Absolute Deviation (MAD)0.02719275
Skewness0.12657373
Sum2794.0053
Variance0.0040314174
MonotonicityNot monotonic
2024-04-11T11:10:45.446159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
126.9724763 7
31.8%
126.8349045 1
 
4.5%
127.0102004 1
 
4.5%
127.0640187 1
 
4.5%
127.1501321 1
 
4.5%
126.9312362 1
 
4.5%
126.9841427 1
 
4.5%
127.1243746 1
 
4.5%
127.010862 1
 
4.5%
126.9725279 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
126.8349045 1
 
4.5%
126.9312362 1
 
4.5%
126.9724763 7
31.8%
126.9725279 1
 
4.5%
126.9825342 1
 
4.5%
126.9841427 1
 
4.5%
127.0102004 1
 
4.5%
127.010862 1
 
4.5%
127.0143077 1
 
4.5%
127.0278532 1
 
4.5%
ValueCountFrequency (%)
127.1501321 1
4.5%
127.1243746 1
4.5%
127.0640187 1
4.5%
127.0307005 1
4.5%
127.0307003 1
4.5%
127.0294498 1
4.5%
127.0278532 1
4.5%
127.0143077 1
4.5%
127.010862 1
4.5%
127.0102004 1
4.5%

전화번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-11T11:10:45.598630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
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

Unique22 ?
Unique (%)100.0%

Sample

1st row031-967-4182
2nd row031-213-7722
3rd row031-548-2610
4th row031-203-1665
5th row031-216-7720
ValueCountFrequency (%)
031-967-4182 1
 
4.5%
031-213-7722 1
 
4.5%
031-679-0293 1
 
4.5%
031-265-8080 1
 
4.5%
031-247-7721 1
 
4.5%
031-401-1511 1
 
4.5%
031-239-6393 1
 
4.5%
031-256-6073 1
 
4.5%
031-292-0795 1
 
4.5%
031-759-7718 1
 
4.5%
Other values (12) 12
54.5%
2024-04-11T11:10:45.848930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
16.7%
1 39
14.8%
0 36
13.6%
3 34
12.9%
2 30
11.4%
7 18
6.8%
5 18
6.8%
6 14
 
5.3%
4 14
 
5.3%
9 11
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 39
17.7%
0 36
16.4%
3 34
15.5%
2 30
13.6%
7 18
8.2%
5 18
8.2%
6 14
 
6.4%
4 14
 
6.4%
9 11
 
5.0%
8 6
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
16.7%
1 39
14.8%
0 36
13.6%
3 34
12.9%
2 30
11.4%
7 18
6.8%
5 18
6.8%
6 14
 
5.3%
4 14
 
5.3%
9 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
16.7%
1 39
14.8%
0 36
13.6%
3 34
12.9%
2 30
11.4%
7 18
6.8%
5 18
6.8%
6 14
 
5.3%
4 14
 
5.3%
9 11
 
4.2%

홈페이지URL
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-11T11:10:46.022541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length22
Mean length17.954545
Min length8

Characters and Unicode

Total characters395
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st rowwww.gaidd.or.kr
2nd rowwww.eyes1004.com
3rd rowwww.ggaid.or.kr
4th rowwww.gsrpd.org
5th rowwww.kadia.or.kr
ValueCountFrequency (%)
www.gaidd.or.kr 1
 
4.5%
www.eyes1004.com 1
 
4.5%
www.gscia.co.kr 1
 
4.5%
www.hansinhe.org 1
 
4.5%
www.kgppd.or.kr 1
 
4.5%
http://www.kdda.or.kr/area/main?area_select=2 1
 
4.5%
www.bumosarang.co.kr 1
 
4.5%
www.gaid.or.kr 1
 
4.5%
www.ggwelfare.or.kr 1
 
4.5%
www.kidneykg.or.kr 1
 
4.5%
Other values (12) 12
54.5%
2024-04-11T11:10:46.304428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 63
15.9%
. 57
14.4%
r 40
10.1%
g 26
 
6.6%
o 25
 
6.3%
k 23
 
5.8%
a 21
 
5.3%
/ 16
 
4.1%
d 15
 
3.8%
t 13
 
3.3%
Other values (26) 96
24.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 302
76.5%
Other Punctuation 79
 
20.0%
Decimal Number 12
 
3.0%
Connector Punctuation 1
 
0.3%
Math Symbol 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 63
20.9%
r 40
13.2%
g 26
8.6%
o 25
 
8.3%
k 23
 
7.6%
a 21
 
7.0%
d 15
 
5.0%
t 13
 
4.3%
e 12
 
4.0%
p 10
 
3.3%
Other values (13) 54
17.9%
Decimal Number
ValueCountFrequency (%)
0 3
25.0%
5 3
25.0%
3 2
16.7%
6 1
 
8.3%
4 1
 
8.3%
1 1
 
8.3%
2 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 57
72.2%
/ 16
 
20.3%
: 5
 
6.3%
? 1
 
1.3%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 302
76.5%
Common 93
 
23.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 63
20.9%
r 40
13.2%
g 26
8.6%
o 25
 
8.3%
k 23
 
7.6%
a 21
 
7.0%
d 15
 
5.0%
t 13
 
4.3%
e 12
 
4.0%
p 10
 
3.3%
Other values (13) 54
17.9%
Common
ValueCountFrequency (%)
. 57
61.3%
/ 16
 
17.2%
: 5
 
5.4%
0 3
 
3.2%
5 3
 
3.2%
3 2
 
2.2%
_ 1
 
1.1%
= 1
 
1.1%
? 1
 
1.1%
6 1
 
1.1%
Other values (3) 3
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 395
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 63
15.9%
. 57
14.4%
r 40
10.1%
g 26
 
6.6%
o 25
 
6.3%
k 23
 
5.8%
a 21
 
5.3%
/ 16
 
4.1%
d 15
 
3.8%
t 13
 
3.3%
Other values (26) 96
24.3%

비고
Categorical

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
보건복지부 법인(단체)
9 
경기도 법인
5 
보건복지부 법인(시설)
4 
타 중앙부처 법인
3 
비영리단체
1 

Length

Max length12
Median length12
Mean length9.9090909
Min length5

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row보건복지부 법인(단체)
2nd row경기도 법인
3rd row경기도 법인
4th row보건복지부 법인(단체)
5th row타 중앙부처 법인

Common Values

ValueCountFrequency (%)
보건복지부 법인(단체) 9
40.9%
경기도 법인 5
22.7%
보건복지부 법인(시설) 4
18.2%
타 중앙부처 법인 3
 
13.6%
비영리단체 1
 
4.5%

Length

2024-04-11T11:10:46.418793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:10:46.516996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건복지부 13
28.3%
법인(단체 9
19.6%
법인 8
17.4%
경기도 5
 
10.9%
법인(시설 4
 
8.7%
타 3
 
6.5%
중앙부처 3
 
6.5%
비영리단체 1
 
2.2%

Interactions

2024-04-11T11:10:42.986568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:10:42.498783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:10:42.766378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:10:43.060540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:10:42.619541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:10:42.842190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:10:43.132816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:10:42.691218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:10:42.915089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T11:10:46.592206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL비고
시군명1.0001.0001.0001.0000.8270.9630.9011.0001.0000.520
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0000.8910.9661.0001.0000.880
소재지도로명주소1.0001.0001.0001.0001.0000.8910.9661.0001.0000.880
소재지우편번호0.8271.0001.0001.0001.0000.9160.9681.0001.0000.687
WGS84위도0.9631.0000.8910.8910.9161.0000.9341.0001.0000.629
WGS84경도0.9011.0000.9660.9660.9680.9341.0001.0001.0000.680
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지URL1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
비고0.5201.0000.8800.8800.6870.6290.6801.0001.0001.000
2024-04-11T11:10:46.692489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명비고
시군명1.0000.359
비고0.3591.000
2024-04-11T11:10:46.758004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명비고
소재지우편번호1.000-0.7390.1410.8160.499
WGS84위도-0.7391.0000.1550.7090.463
WGS84경도0.1410.1551.0000.7680.482
시군명0.8160.7090.7681.0000.359
비고0.4990.4630.4820.3591.000

Missing values

2024-04-11T11:10:43.242797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T11:10:43.388387image/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

시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL비고
0고양시한국지적발달장애인복지협회 경기도 협회경기도 고양시 덕양구 주교동 583-3번지 대양빌라경기도 고양시 덕양구 마상로114번길 221045937.659743126.834904031-967-4182www.gaidd.or.kr보건복지부 법인(단체)
1군포시사단)경기도시각장애인연합회경기도 수원시 팔달구 우만동 527-34번지경기도 수원시 팔달구 팔달문로 1351623937.282458127.0307031-213-7722www.eyes1004.com경기도 법인
2수원시경기도장애인복지시설연합회경기도 수원시 권선구 오목천동 677번지경기도 수원시 권선구 서수원로 1301663937.239181126.972476031-548-2610www.ggaid.or.kr경기도 법인
3수원시경기도장애인재활협회경기도 수원시 권선구 권선동 1250번지경기도 수원시 권선구 권중로50번길 8-391655637.253653127.02945031-203-1665www.gsrpd.org보건복지부 법인(단체)
4수원시경기도장애인정보화협회경기도 수원시 장안구 조원동 729-16번지경기도 수원시 장안구 조원로112번길 21628237.30232127.014308031-216-7720www.kadia.or.kr타 중앙부처 법인
5수원시경기도장애인직업재활시설협회경기도 수원시 권선구 오목천동 677번지경기도 수원시 권선구 서수원로 1301663937.239181126.972476031-244-1030gavrd.kr보건복지부 법인(시설)
6수원시내일을여는멋진여성 경기협회경기도 수원시 장안구 천천동 90번지경기도 수원시 장안구 천천로 1381633637.303148126.982534031-293-3444http://www.wsbtgk.or.kr/타 중앙부처 법인
7수원시대한안마사협회 경기지부경기도 수원시 팔달구 인계동 962-11번지경기도 수원시 팔달구 경수대로507번길 12-141648137.272037127.027853031-234-2655http://anma365.or.kr/보건복지부 법인(단체)
8수원시사)경기도장애인복지단체연합회경기도 수원시 권선구 오목천동 677번지경기도 수원시 권선구 서수원로 1301663937.239181126.972476031-244-7015www.gfwod.or.kr경기도 법인
9수원시사)경기도장애인복지회경기도 수원시 팔달구 우만동 526-12번지 한효우만타운아파트경기도 수원시 팔달구 팔달문로139번길 11-41623937.283152127.0307031-252-5556www.ggjb.or.kr경기도 법인
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL비고
12수원시한국농아인협회 경기도협회경기도 수원시 장안구 영화동 436-19번지경기도 수원시 장안구 팔달로237번길 91627037.288045127.010862031-252-6420www.ggdeaf.kr보건복지부 법인(단체)
13수원시한국신장장애인 경기협회경기도 수원시 권선구 오목천동 677번지경기도 수원시 권선구 서수원로 1301663937.438527127.124375031-759-7718www.kidneykg.or.kr보건복지부 법인(단체)
14수원시한국장애인복지관협회 경기도협회경기도 수원시 권선구 오목천동 677번지경기도 수원시 권선구 서수원로 1301663937.239181126.972476031-292-0795www.ggwelfare.or.kr보건복지부 법인(시설)
15수원시한국장애인복지시설협회 경기도협회경기도 수원시 권선구 오목천동 677번지경기도 수원시 권선구 서수원로 1301663937.239181126.972476031-256-6073www.gaid.or.kr보건복지부 법인(시설)
16수원시한국장애인부모회 경기도지회경기도 수원시 권선구 오목천동 677번지경기도 수원시 권선구 서수원로 1301663937.239181126.972476031-239-6393www.bumosarang.co.kr보건복지부 법인(단체)
17수원시한국장애인주간보호시설협회 경기도협회경기도 수원시 권선구 오목천동 677번지경기도 수원시 권선구 서수원로 1301663937.239181126.972476031-401-1511http://www.kdda.or.kr/area/main?area_select=2보건복지부 법인(시설)
18수원시한국지체장애인협회 경기도협회경기도 수원시 권선구 고색동 1094번지경기도 수원시 권선구 산업로 1801664837.242411126.984143031-247-7721www.kgppd.or.kr보건복지부 법인(단체)
19안양시한국신체장애인복지회 경기도협회경기도 안양시 만안구 안양동 505-2번지경기도 안양시 만안구 안양로 1331409237.386192126.931236031-265-8080www.hansinhe.org보건복지부 법인(단체)
20용인시한국척수장애인협회 경기도협회경기도 용인시 기흥구 중동 842번지경기도 용인시 기흥구 동백중앙로 225-61700637.27391127.150132031-679-0293www.gscia.co.kr보건복지부 법인(단체)
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