Overview

Dataset statistics

Number of variables10
Number of observations32
Missing cells32
Missing cells (%)10.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory88.1 B

Variable types

Text6
Numeric3
Unsupported1

Dataset

Description장애인 맞춤형 도우미 사업 제공기관 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=99K01DD0Y3SC4LJKBZWH25616304&infSeq=1

Alerts

소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
비고 has 32 (100.0%) missing valuesMissing
기관명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지우편번호 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique
전화번호 has unique valuesUnique
홈페이지URL has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 00:07:35.330194
Analysis finished2024-03-13 00:07:36.385524
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T09:07:36.489415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.09375
Min length3

Characters and Unicode

Total characters99
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)81.2%

Sample

1st row가평군
2nd row고양시
3rd row과천시
4th row광명시
5th row구리시
ValueCountFrequency (%)
안양시 2
 
6.2%
평택시 2
 
6.2%
용인시 2
 
6.2%
고양시 1
 
3.1%
가평군 1
 
3.1%
하남시 1
 
3.1%
포천시 1
 
3.1%
파주시 1
 
3.1%
이천시 1
 
3.1%
의정부시 1
 
3.1%
Other values (19) 19
59.4%
2024-03-13T09:07:36.757459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 30
30.3%
천 6
 
6.1%
양 6
 
6.1%
안 4
 
4.0%
군 4
 
4.0%
주 4
 
4.0%
평 4
 
4.0%
성 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
Other values (27) 32
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 30
30.3%
천 6
 
6.1%
양 6
 
6.1%
안 4
 
4.0%
군 4
 
4.0%
주 4
 
4.0%
평 4
 
4.0%
성 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
Other values (27) 32
32.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 30
30.3%
천 6
 
6.1%
양 6
 
6.1%
안 4
 
4.0%
군 4
 
4.0%
주 4
 
4.0%
평 4
 
4.0%
성 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
Other values (27) 32
32.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 30
30.3%
천 6
 
6.1%
양 6
 
6.1%
안 4
 
4.0%
군 4
 
4.0%
주 4
 
4.0%
평 4
 
4.0%
성 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
Other values (27) 32
32.3%

기관명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T09:07:36.928352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.46875
Min length9

Characters and Unicode

Total characters335
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row가평군장애인복지관
2nd row고양시장애인종합복지관
3rd row과천시장애인복지관
4th row광명장애인종합복지관
5th row구리시장애인종합복지관
ValueCountFrequency (%)
가평군장애인복지관 1
 
3.1%
고양시장애인종합복지관 1
 
3.1%
하남시장애인복지관 1
 
3.1%
포천시종합사회복지관 1
 
3.1%
평택북부장애인복지관 1
 
3.1%
에바다장애인종합복지관 1
 
3.1%
파주시장애인종합복지관 1
 
3.1%
이천시장애인복지관 1
 
3.1%
의정부시장애인종합복지관 1
 
3.1%
희망나래장애인복지관 1
 
3.1%
Other values (22) 22
68.8%
2024-03-13T09:07:37.198490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 33
 
9.9%
지 32
 
9.6%
관 32
 
9.6%
복 31
 
9.3%
장 30
 
9.0%
애 30
 
9.0%
시 25
 
7.5%
종 16
 
4.8%
합 16
 
4.8%
천 6
 
1.8%
Other values (53) 84
25.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 33
 
9.9%
지 32
 
9.6%
관 32
 
9.6%
복 31
 
9.3%
장 30
 
9.0%
애 30
 
9.0%
시 25
 
7.5%
종 16
 
4.8%
합 16
 
4.8%
천 6
 
1.8%
Other values (53) 84
25.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 33
 
9.9%
지 32
 
9.6%
관 32
 
9.6%
복 31
 
9.3%
장 30
 
9.0%
애 30
 
9.0%
시 25
 
7.5%
종 16
 
4.8%
합 16
 
4.8%
천 6
 
1.8%
Other values (53) 84
25.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 33
 
9.9%
지 32
 
9.6%
관 32
 
9.6%
복 31
 
9.3%
장 30
 
9.0%
애 30
 
9.0%
시 25
 
7.5%
종 16
 
4.8%
합 16
 
4.8%
천 6
 
1.8%
Other values (53) 84
25.1%

소재지지번주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T09:07:37.409117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.875
Min length17

Characters and Unicode

Total characters668
Distinct characters93
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

Unique32 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 읍내리 861번지
2nd row경기도 고양시 일산서구 탄현동 111-1번지
3rd row경기도 과천시 문원동 31-3번지
4th row경기도 광명시 광명동 164-2번지
5th row경기도 구리시 수택동 851-1번지
ValueCountFrequency (%)
경기도 32
 
22.2%
안양시 2
 
1.4%
평택시 2
 
1.4%
용인시 2
 
1.4%
만안구 2
 
1.4%
안양동 2
 
1.4%
일산서구 1
 
0.7%
225-1번지 1
 
0.7%
497-1번지 1
 
0.7%
고천동 1
 
0.7%
Other values (98) 98
68.1%
2024-03-13T09:07:37.765115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
16.8%
기 34
 
5.1%
지 34
 
5.1%
경 32
 
4.8%
도 32
 
4.8%
번 32
 
4.8%
시 30
 
4.5%
1 29
 
4.3%
- 26
 
3.9%
동 26
 
3.9%
Other values (83) 281
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 406
60.8%
Decimal Number 124
 
18.6%
Space Separator 112
 
16.8%
Dash Punctuation 26
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 34
 
8.4%
지 34
 
8.4%
경 32
 
7.9%
도 32
 
7.9%
번 32
 
7.9%
시 30
 
7.4%
동 26
 
6.4%
구 10
 
2.5%
양 9
 
2.2%
안 8
 
2.0%
Other values (71) 159
39.2%
Decimal Number
ValueCountFrequency (%)
1 29
23.4%
8 14
11.3%
4 13
10.5%
0 12
9.7%
2 11
 
8.9%
6 11
 
8.9%
5 10
 
8.1%
3 9
 
7.3%
7 8
 
6.5%
9 7
 
5.6%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 406
60.8%
Common 262
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 34
 
8.4%
지 34
 
8.4%
경 32
 
7.9%
도 32
 
7.9%
번 32
 
7.9%
시 30
 
7.4%
동 26
 
6.4%
구 10
 
2.5%
양 9
 
2.2%
안 8
 
2.0%
Other values (71) 159
39.2%
Common
ValueCountFrequency (%)
112
42.7%
1 29
 
11.1%
- 26
 
9.9%
8 14
 
5.3%
4 13
 
5.0%
0 12
 
4.6%
2 11
 
4.2%
6 11
 
4.2%
5 10
 
3.8%
3 9
 
3.4%
Other values (2) 15
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 406
60.8%
ASCII 262
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
42.7%
1 29
 
11.1%
- 26
 
9.9%
8 14
 
5.3%
4 13
 
5.0%
0 12
 
4.6%
2 11
 
4.2%
6 11
 
4.2%
5 10
 
3.8%
3 9
 
3.4%
Other values (2) 15
 
5.7%
Hangul
ValueCountFrequency (%)
기 34
 
8.4%
지 34
 
8.4%
경 32
 
7.9%
도 32
 
7.9%
번 32
 
7.9%
시 30
 
7.4%
동 26
 
6.4%
구 10
 
2.5%
양 9
 
2.2%
안 8
 
2.0%
Other values (71) 159
39.2%

소재지도로명주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T09:07:37.973499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length18.78125
Min length14

Characters and Unicode

Total characters601
Distinct characters110
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

Unique32 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 석봉로191번길 65-19
2nd row경기도 고양시 일산서구 탄현로 139
3rd row경기도 과천시 문원로 40
4th row경기도 광명시 목감로 120
5th row경기도 구리시 이문안로 86-1
ValueCountFrequency (%)
경기도 32
 
22.2%
만안구 2
 
1.4%
안양시 2
 
1.4%
용인시 2
 
1.4%
평택시 2
 
1.4%
연천읍 1
 
0.7%
의왕시 1
 
0.7%
318 1
 
0.7%
경안천로 1
 
0.7%
처인구 1
 
0.7%
Other values (99) 99
68.8%
2024-03-13T09:07:38.287377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
18.6%
경 34
 
5.7%
기 34
 
5.7%
도 32
 
5.3%
로 30
 
5.0%
시 30
 
5.0%
1 27
 
4.5%
3 16
 
2.7%
2 13
 
2.2%
9 11
 
1.8%
Other values (100) 262
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
61.9%
Space Separator 112
 
18.6%
Decimal Number 111
 
18.5%
Dash Punctuation 6
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 34
 
9.1%
기 34
 
9.1%
도 32
 
8.6%
로 30
 
8.1%
시 30
 
8.1%
구 11
 
3.0%
천 10
 
2.7%
길 10
 
2.7%
안 8
 
2.2%
양 7
 
1.9%
Other values (88) 166
44.6%
Decimal Number
ValueCountFrequency (%)
1 27
24.3%
3 16
14.4%
2 13
11.7%
9 11
9.9%
0 9
 
8.1%
6 9
 
8.1%
5 8
 
7.2%
4 7
 
6.3%
7 7
 
6.3%
8 4
 
3.6%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 372
61.9%
Common 229
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 34
 
9.1%
기 34
 
9.1%
도 32
 
8.6%
로 30
 
8.1%
시 30
 
8.1%
구 11
 
3.0%
천 10
 
2.7%
길 10
 
2.7%
안 8
 
2.2%
양 7
 
1.9%
Other values (88) 166
44.6%
Common
ValueCountFrequency (%)
112
48.9%
1 27
 
11.8%
3 16
 
7.0%
2 13
 
5.7%
9 11
 
4.8%
0 9
 
3.9%
6 9
 
3.9%
5 8
 
3.5%
4 7
 
3.1%
7 7
 
3.1%
Other values (2) 10
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
61.9%
ASCII 229
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
48.9%
1 27
 
11.8%
3 16
 
7.0%
2 13
 
5.7%
9 11
 
4.8%
0 9
 
3.9%
6 9
 
3.9%
5 8
 
3.5%
4 7
 
3.1%
7 7
 
3.1%
Other values (2) 10
 
4.4%
Hangul
ValueCountFrequency (%)
경 34
 
9.1%
기 34
 
9.1%
도 32
 
8.6%
로 30
 
8.1%
시 30
 
8.1%
구 11
 
3.0%
천 10
 
2.7%
길 10
 
2.7%
안 8
 
2.2%
양 7
 
1.9%
Other values (88) 166
44.6%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14000.281
Minimum10086
Maximum18489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T09:07:38.409148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10086
5-th percentile10550.85
Q111906
median13871
Q316103.25
95-th percentile17850.6
Maximum18489
Range8403
Interquartile range (IQR)4197.25

Descriptive statistics

Standard deviation2527.9255
Coefficient of variation (CV)0.18056248
Kurtosis-1.2065836
Mean14000.281
Median Absolute Deviation (MAD)2129
Skewness0.22254927
Sum448009
Variance6390407.5
MonotonicityNot monotonic
2024-03-13T09:07:38.499819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
12414 1
 
3.1%
11485 1
 
3.1%
18489 1
 
3.1%
12919 1
 
3.1%
11151 1
 
3.1%
17730 1
 
3.1%
17998 1
 
3.1%
10806 1
 
3.1%
17301 1
 
3.1%
11804 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
10086 1
3.1%
10239 1
3.1%
10806 1
3.1%
11014 1
3.1%
11151 1
3.1%
11338 1
3.1%
11485 1
3.1%
11804 1
3.1%
11940 1
3.1%
12236 1
3.1%
ValueCountFrequency (%)
18489 1
3.1%
17998 1
3.1%
17730 1
3.1%
17596 1
3.1%
17301 1
3.1%
17038 1
3.1%
16905 1
3.1%
16227 1
3.1%
16062 1
3.1%
15829 1
3.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.485032
Minimum36.951662
Maximum38.094214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T09:07:38.590696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.951662
5-th percentile37.036987
Q137.317445
median37.436109
Q337.65696
95-th percentile37.905941
Maximum38.094214
Range1.142552
Interquartile range (IQR)0.33951572

Descriptive statistics

Standard deviation0.27515313
Coefficient of variation (CV)0.0073403467
Kurtosis-0.29372706
Mean37.485032
Median Absolute Deviation (MAD)0.14785688
Skewness0.22076125
Sum1199.521
Variance0.075709245
MonotonicityNot monotonic
2024-03-13T09:07:38.692331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
37.83114084 1
 
3.1%
37.801825 1
 
3.1%
37.17672126 1
 
3.1%
37.559547 1
 
3.1%
37.90499161 1
 
3.1%
37.06612253 1
 
3.1%
36.95166165 1
 
3.1%
37.88415756 1
 
3.1%
37.31819121 1
 
3.1%
37.74360033 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
36.95166165 1
3.1%
37.001378 1
3.1%
37.06612253 1
3.1%
37.17672126 1
3.1%
37.25944082 1
3.1%
37.2957382 1
3.1%
37.29943958 1
3.1%
37.31520539 1
3.1%
37.31819121 1
3.1%
37.32583618 1
3.1%
ValueCountFrequency (%)
38.09421361 1
3.1%
37.90710161 1
3.1%
37.90499161 1
3.1%
37.88415756 1
3.1%
37.83114084 1
3.1%
37.801825 1
3.1%
37.74360033 1
3.1%
37.70312098 1
3.1%
37.64157364 1
3.1%
37.62697449 1
3.1%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.07664
Minimum126.65808
Maximum127.63228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-13T09:07:38.790130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.65808
5-th percentile126.75416
Q1126.9256
median127.07581
Q3127.19128
95-th percentile127.50255
Maximum127.63228
Range0.9741943
Interquartile range (IQR)0.26567705

Descriptive statistics

Standard deviation0.22875174
Coefficient of variation (CV)0.0018001085
Kurtosis0.22885539
Mean127.07664
Median Absolute Deviation (MAD)0.1389879
Skewness0.50505797
Sum4066.4525
Variance0.052327359
MonotonicityNot monotonic
2024-03-13T09:07:38.906687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
127.5016364 1
 
3.1%
127.0907932 1
 
3.1%
127.1078044 1
 
3.1%
127.188318 1
 
3.1%
127.2121013 1
 
3.1%
127.0660062 1
 
3.1%
127.0783177 1
 
3.1%
126.8754433 1
 
3.1%
127.4239538 1
 
3.1%
127.0921163 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
126.6580811 1
3.1%
126.7410833 1
3.1%
126.7648528 1
3.1%
126.8064624 1
3.1%
126.8136531 1
3.1%
126.8468196 1
3.1%
126.8754433 1
3.1%
126.9207063 1
3.1%
126.9272291 1
3.1%
126.9341255 1
3.1%
ValueCountFrequency (%)
127.6322754 1
3.1%
127.503669 1
3.1%
127.5016364 1
3.1%
127.4239538 1
3.1%
127.281262 1
3.1%
127.2193748 1
3.1%
127.2121013 1
3.1%
127.2001478 1
3.1%
127.188318 1
3.1%
127.1788386 1
3.1%

전화번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T09:07:39.084420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.0625
Min length12

Characters and Unicode

Total characters386
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

Unique32 ?
Unique (%)100.0%

Sample

1st row031-581-9785
2nd row031-929-1400
3rd row02-2185-8020
4th row02-2616-3700
5th row031-562-0068
ValueCountFrequency (%)
031-581-9785 1
 
3.1%
031-929-1400 1
 
3.1%
031-794-2266 1
 
3.1%
031-531-4055 1
 
3.1%
031-615-3973 1
 
3.1%
031-692-2362 1
 
3.1%
031-959-7020 1
 
3.1%
031-637-6720 1
 
3.1%
031-850-5300 1
 
3.1%
031-467-7300 1
 
3.1%
Other values (22) 22
68.8%
2024-03-13T09:07:39.584283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 81
21.0%
- 64
16.6%
3 55
14.2%
1 46
11.9%
7 27
 
7.0%
2 26
 
6.7%
5 21
 
5.4%
8 19
 
4.9%
6 18
 
4.7%
9 16
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 322
83.4%
Dash Punctuation 64
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 81
25.2%
3 55
17.1%
1 46
14.3%
7 27
 
8.4%
2 26
 
8.1%
5 21
 
6.5%
8 19
 
5.9%
6 18
 
5.6%
9 16
 
5.0%
4 13
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 386
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 81
21.0%
- 64
16.6%
3 55
14.2%
1 46
11.9%
7 27
 
7.0%
2 26
 
6.7%
5 21
 
5.4%
8 19
 
4.9%
6 18
 
4.7%
9 16
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 81
21.0%
- 64
16.6%
3 55
14.2%
1 46
11.9%
7 27
 
7.0%
2 26
 
6.7%
5 21
 
5.4%
8 19
 
4.9%
6 18
 
4.7%
9 16
 
4.1%

홈페이지URL
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T09:07:39.775570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20
Mean length18.78125
Min length13

Characters and Unicode

Total characters601
Distinct characters55
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

Unique32 ?
Unique (%)100.0%

Sample

1st rowhttp://www.gapyeongjb.or.kr/
2nd rowhttp://goyangrehab.or.kr
3rd rowwww.happyseed.or.kr
4th rowwww.withlight.or.kr
5th rowwww.guriwel.or.kr
ValueCountFrequency (%)
http://www.gapyeongjb.or.kr 1
 
2.9%
www.warmhand.or.kr 1
 
2.9%
www.yjlove.me 1
 
2.9%
연천군장애인가족지원센터 1
 
2.9%
ycfamily.or.kr 1
 
2.9%
www.a-sak.or.kr 1
 
2.9%
www.heart4u.or.kr 1
 
2.9%
www.uwnare.or.kr 1
 
2.9%
http://ich.sgwon.or.kr 1
 
2.9%
http://goyangrehab.or.kr 1
 
2.9%
Other values (24) 24
70.6%
2024-03-13T09:07:40.079775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 87
14.5%
. 87
14.5%
r 73
12.1%
o 39
 
6.5%
k 31
 
5.2%
a 28
 
4.7%
h 25
 
4.2%
t 22
 
3.7%
/ 21
 
3.5%
e 21
 
3.5%
Other values (45) 167
27.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 450
74.9%
Other Punctuation 116
 
19.3%
Other Letter 22
 
3.7%
Decimal Number 5
 
0.8%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%
Dash Punctuation 2
 
0.3%
Space Separator 2
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 87
19.3%
r 73
16.2%
o 39
8.7%
k 31
 
6.9%
a 28
 
6.2%
h 25
 
5.6%
t 22
 
4.9%
e 21
 
4.7%
p 18
 
4.0%
b 14
 
3.1%
Other values (13) 92
20.4%
Other Letter
ValueCountFrequency (%)
지 2
 
9.1%
천 2
 
9.1%
종 1
 
4.5%
합 1
 
4.5%
시 1
 
4.5%
포 1
 
4.5%
사 1
 
4.5%
회 1
 
4.5%
복 1
 
4.5%
터 1
 
4.5%
Other values (10) 10
45.5%
Decimal Number
ValueCountFrequency (%)
4 1
20.0%
1 1
20.0%
2 1
20.0%
6 1
20.0%
0 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 87
75.0%
/ 21
 
18.1%
: 8
 
6.9%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 450
74.9%
Common 129
 
21.5%
Hangul 22
 
3.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 87
19.3%
r 73
16.2%
o 39
8.7%
k 31
 
6.9%
a 28
 
6.2%
h 25
 
5.6%
t 22
 
4.9%
e 21
 
4.7%
p 18
 
4.0%
b 14
 
3.1%
Other values (13) 92
20.4%
Hangul
ValueCountFrequency (%)
지 2
 
9.1%
천 2
 
9.1%
종 1
 
4.5%
합 1
 
4.5%
시 1
 
4.5%
포 1
 
4.5%
사 1
 
4.5%
회 1
 
4.5%
복 1
 
4.5%
터 1
 
4.5%
Other values (10) 10
45.5%
Common
ValueCountFrequency (%)
. 87
67.4%
/ 21
 
16.3%
: 8
 
6.2%
( 2
 
1.6%
) 2
 
1.6%
- 2
 
1.6%
2
 
1.6%
4 1
 
0.8%
1 1
 
0.8%
2 1
 
0.8%
Other values (2) 2
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 579
96.3%
Hangul 22
 
3.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 87
15.0%
. 87
15.0%
r 73
12.6%
o 39
 
6.7%
k 31
 
5.4%
a 28
 
4.8%
h 25
 
4.3%
t 22
 
3.8%
/ 21
 
3.6%
e 21
 
3.6%
Other values (25) 145
25.0%
Hangul
ValueCountFrequency (%)
지 2
 
9.1%
천 2
 
9.1%
종 1
 
4.5%
합 1
 
4.5%
시 1
 
4.5%
포 1
 
4.5%
사 1
 
4.5%
회 1
 
4.5%
복 1
 
4.5%
터 1
 
4.5%
Other values (10) 10
45.5%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

Interactions

2024-03-13T09:07:36.020932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:07:35.668790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:07:35.841041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:07:36.078562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:07:35.722998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:07:35.898231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:07:36.140872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:07:35.783915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:07:35.962360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T09:07:40.165154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
시군명1.0001.0001.0001.0001.0000.0000.9911.0001.000
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
소재지우편번호1.0001.0001.0001.0001.0000.7050.8131.0001.000
WGS84위도0.0001.0001.0001.0000.7051.0000.0001.0001.000
WGS84경도0.9911.0001.0001.0000.8130.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지URL1.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-13T09:07:40.253963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도
소재지우편번호1.000-0.9130.108
WGS84위도-0.9131.000-0.107
WGS84경도0.108-0.1071.000

Missing values

2024-03-13T09:07:36.231302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:07:36.338512image/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
0가평군가평군장애인복지관경기도 가평군 가평읍 읍내리 861번지경기도 가평군 가평읍 석봉로191번길 65-191241437.831141127.501636031-581-9785http://www.gapyeongjb.or.kr/<NA>
1고양시고양시장애인종합복지관경기도 고양시 일산서구 탄현동 111-1번지경기도 고양시 일산서구 탄현로 1391023937.703121126.764853031-929-1400http://goyangrehab.or.kr<NA>
2과천시과천시장애인복지관경기도 과천시 문원동 31-3번지경기도 과천시 문원로 401382837.428778127.00197802-2185-8020www.happyseed.or.kr<NA>
3광명시광명장애인종합복지관경기도 광명시 광명동 164-2번지경기도 광명시 목감로 1201428437.478734126.8468202-2616-3700www.withlight.or.kr<NA>
4구리시구리시장애인종합복지관경기도 구리시 수택동 851-1번지경기도 구리시 이문안로 86-11194037.591452127.141007031-562-0068www.guriwel.or.kr<NA>
5군포시군포시장애인종합복지관경기도 군포시 금정동 844-1번지경기도 군포시 청백리길 181582937.363002126.934125031-396-3108www.gunporehab.or.kr<NA>
6김포시김포시장애인복지관경기도 김포시 장기동 1888-18번지경기도 김포시 김포한강3로 2911008637.641574126.658081070-7327-4100www.gimpowel.or.kr<NA>
7남양주시남양주시장애인복지관경기도 남양주시 금곡동 615-2번지경기도 남양주시 홍유릉로 273-11223637.626974127.200148031-592-7150http://nyjwel.or.kr<NA>
8동두천시동두천시장애인종합복지관경기도 동두천시 상패동 54번지경기도 동두천시 상패로 641133837.907102127.047922031-867-0080www.ddcjb06.net<NA>
9부천시부천시장애인종합복지관경기도 부천시 오정구 작동 57번지경기도 부천시 오정구 역곡로 3671447137.517455126.813653032-670-1100www.pchand.or.kr<NA>
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL비고
22용인시용인시처인장애인복지관경기도 용인시 처인구 고림동 820-154번지경기도 용인시 처인구 경안천로 3181703837.259441127.219375031-320-4800www.heart4u.or.kr<NA>
23의왕시희망나래장애인복지관경기도 의왕시 고천동 497-1번지경기도 의왕시 오전로 271606237.348676126.981337031-467-7300www.uwnare.or.kr<NA>
24의정부시의정부시장애인종합복지관경기도 의정부시 민락동 735-17번지경기도 의정부시 용민로 1601180437.7436127.092116031-850-5300www.warmhand.or.kr<NA>
25이천시이천시장애인복지관경기도 이천시 신둔면 지석리 640번지경기도 이천시 신둔면 석동로 31730137.318191127.423954031-637-6720http://ich.sgwon.or.kr<NA>
26파주시파주시장애인종합복지관경기도 파주시 법원읍 금곡리 428-3번지경기도 파주시 법원읍 술이홀로1333번길 631080637.884158126.875443031-959-7020www.pajurehab.or.kr<NA>
27평택시에바다장애인종합복지관경기도 평택시 팽성읍 남산리 3-6번지경기도 평택시 팽성읍 노와길 4471799836.951662127.078318031-692-2362www.ept.or.kr<NA>
28평택시평택북부장애인복지관경기도 평택시 서정동 산12번지경기도 평택시 서정로 2951773037.066123127.066006031-615-3973www.bbjb.or.kr<NA>
29포천시포천시종합사회복지관경기도 포천시 군내면 하성북리 520-3번지경기도 포천시 군내면 청성로 51115137.904992127.212101031-531-4055포천시종합사회복지관 (pobok.or.kr)<NA>
30하남시하남시장애인복지관경기도 하남시 풍산동 산58-5번지경기도 하남시 미사강변남로 561291937.559547127.188318031-794-2266http://www.hanamrehab.or.kr/<NA>
31화성시화성시동탄아르딤복지관경기도 화성시 산척동 676번지경기도 화성시 동탄대로10길 17-121848937.176721127.107804031-8077-0821http://dt-ardim.or.kr/<NA>