Overview

Dataset statistics

Number of variables10
Number of observations65
Missing cells65
Missing cells (%)10.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory86.0 B

Variable types

Categorical1
Text5
Numeric3
Unsupported1

Dataset

Description경기도_시군별 보조기기 수리 서비스센터 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=SOAMH4QYS77I3K0I0QZN24937630&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
비고 has 65 (100.0%) missing valuesMissing
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:19:17.547113
Analysis finished2023-12-10 22:19:18.789813
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
수원시
11 
고양시
7 
의정부시
4 
부천시
 
3
용인시
 
3
Other values (26)
37 

Length

Max length4
Median length3
Mean length3.1076923
Min length3

Unique

Unique16 ?
Unique (%)24.6%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 11
16.9%
고양시 7
 
10.8%
의정부시 4
 
6.2%
부천시 3
 
4.6%
용인시 3
 
4.6%
여주시 3
 
4.6%
광주시 2
 
3.1%
화성시 2
 
3.1%
과천시 2
 
3.1%
양주시 2
 
3.1%
Other values (21) 26
40.0%

Length

2023-12-11T07:19:18.842796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 11
16.9%
고양시 7
 
10.8%
의정부시 4
 
6.2%
부천시 3
 
4.6%
용인시 3
 
4.6%
여주시 3
 
4.6%
안양시 2
 
3.1%
군포시 2
 
3.1%
파주시 2
 
3.1%
동두천시 2
 
3.1%
Other values (21) 26
40.0%

기관명
Text

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-11T07:19:19.042272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length10.523077
Min length2

Characters and Unicode

Total characters684
Distinct characters131
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

Unique61 ?
Unique (%)93.8%

Sample

1st row경기도지체장애인협회 가평군지회
2nd row고양시장애인자립생활센터
3rd row나우의료기
4th row니씬
5th row땡큐시니어 건강의료기
ValueCountFrequency (%)
경기도지체장애인협회 15
 
17.4%
세움재활보장구센터 2
 
2.3%
케어메디칼 2
 
2.3%
동두천시지회 2
 
2.3%
온누리부흥센터 1
 
1.2%
여주시지회 1
 
1.2%
양평군지회 1
 
1.2%
태양 1
 
1.2%
주식회사 1
 
1.2%
안성시지회 1
 
1.2%
Other values (59) 59
68.6%
2023-12-11T07:19:19.364589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 39
 
5.7%
장 38
 
5.6%
회 38
 
5.6%
인 34
 
5.0%
기 34
 
5.0%
애 31
 
4.5%
시 30
 
4.4%
터 23
 
3.4%
센 22
 
3.2%
21
 
3.1%
Other values (121) 374
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 660
96.5%
Space Separator 21
 
3.1%
Decimal Number 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 39
 
5.9%
장 38
 
5.8%
회 38
 
5.8%
인 34
 
5.2%
기 34
 
5.2%
애 31
 
4.7%
시 30
 
4.5%
터 23
 
3.5%
센 22
 
3.3%
협 20
 
3.0%
Other values (118) 351
53.2%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 660
96.5%
Common 24
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 39
 
5.9%
장 38
 
5.8%
회 38
 
5.8%
인 34
 
5.2%
기 34
 
5.2%
애 31
 
4.7%
시 30
 
4.5%
터 23
 
3.5%
센 22
 
3.3%
협 20
 
3.0%
Other values (118) 351
53.2%
Common
ValueCountFrequency (%)
21
87.5%
1 2
 
8.3%
4 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 660
96.5%
ASCII 24
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 39
 
5.9%
장 38
 
5.8%
회 38
 
5.8%
인 34
 
5.2%
기 34
 
5.2%
애 31
 
4.7%
시 30
 
4.5%
터 23
 
3.5%
센 22
 
3.3%
협 20
 
3.0%
Other values (118) 351
53.2%
ASCII
ValueCountFrequency (%)
21
87.5%
1 2
 
8.3%
4 1
 
4.2%

소재지지번주소
Text

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-11T07:19:19.589378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length21.230769
Min length16

Characters and Unicode

Total characters1380
Distinct characters121
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

Unique61 ?
Unique (%)93.8%

Sample

1st row경기도 가평군 가평읍 읍내리 300-3번지
2nd row경기도 고양시 일산서구 주엽동 72-2번지
3rd row경기도 고양시 일산동구 백석동 1248번지
4th row경기도 고양시 덕양구 오금동 686번지
5th row경기도 고양시 일산서구 대화동 2252-10번지
ValueCountFrequency (%)
경기도 65
 
22.0%
수원시 11
 
3.7%
고양시 7
 
2.4%
권선구 5
 
1.7%
의정부시 5
 
1.7%
상동 4
 
1.4%
여주시 3
 
1.0%
용인시 3
 
1.0%
팔달구 3
 
1.0%
우만동 3
 
1.0%
Other values (159) 187
63.2%
2023-12-11T07:19:19.926003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231
 
16.7%
기 67
 
4.9%
지 66
 
4.8%
경 65
 
4.7%
도 65
 
4.7%
시 64
 
4.6%
번 63
 
4.6%
동 61
 
4.4%
- 47
 
3.4%
1 40
 
2.9%
Other values (111) 611
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 838
60.7%
Decimal Number 264
 
19.1%
Space Separator 231
 
16.7%
Dash Punctuation 47
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 67
 
8.0%
지 66
 
7.9%
경 65
 
7.8%
도 65
 
7.8%
시 64
 
7.6%
번 63
 
7.5%
동 61
 
7.3%
구 29
 
3.5%
양 21
 
2.5%
원 18
 
2.1%
Other values (99) 319
38.1%
Decimal Number
ValueCountFrequency (%)
1 40
15.2%
2 37
14.0%
3 33
12.5%
8 30
11.4%
4 25
9.5%
0 24
9.1%
6 22
8.3%
5 21
8.0%
7 19
7.2%
9 13
 
4.9%
Space Separator
ValueCountFrequency (%)
231
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 838
60.7%
Common 542
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 67
 
8.0%
지 66
 
7.9%
경 65
 
7.8%
도 65
 
7.8%
시 64
 
7.6%
번 63
 
7.5%
동 61
 
7.3%
구 29
 
3.5%
양 21
 
2.5%
원 18
 
2.1%
Other values (99) 319
38.1%
Common
ValueCountFrequency (%)
231
42.6%
- 47
 
8.7%
1 40
 
7.4%
2 37
 
6.8%
3 33
 
6.1%
8 30
 
5.5%
4 25
 
4.6%
0 24
 
4.4%
6 22
 
4.1%
5 21
 
3.9%
Other values (2) 32
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 838
60.7%
ASCII 542
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231
42.6%
- 47
 
8.7%
1 40
 
7.4%
2 37
 
6.8%
3 33
 
6.1%
8 30
 
5.5%
4 25
 
4.6%
0 24
 
4.4%
6 22
 
4.1%
5 21
 
3.9%
Other values (2) 32
 
5.9%
Hangul
ValueCountFrequency (%)
기 67
 
8.0%
지 66
 
7.9%
경 65
 
7.8%
도 65
 
7.8%
시 64
 
7.6%
번 63
 
7.5%
동 61
 
7.3%
구 29
 
3.5%
양 21
 
2.5%
원 18
 
2.1%
Other values (99) 319
38.1%

소재지도로명주소
Text

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-11T07:19:20.176763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length19.2
Min length14

Characters and Unicode

Total characters1248
Distinct characters125
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

Unique61 ?
Unique (%)93.8%

Sample

1st row경기도 가평군 가평읍 보납로 74
2nd row경기도 고양시 일산서구 중앙로 1406
3rd row경기도 고양시 일산동구 강송로73번길 7-19
4th row경기도 고양시 덕양구 삼막3길 5
5th row경기도 고양시 일산서구 호수로856번길 65-1
ValueCountFrequency (%)
경기도 65
 
22.0%
수원시 11
 
3.7%
고양시 7
 
2.4%
권선구 5
 
1.7%
의정부시 5
 
1.7%
팔달구 3
 
1.0%
부천시 3
 
1.0%
여주시 3
 
1.0%
일산서구 3
 
1.0%
용인시 3
 
1.0%
Other values (166) 187
63.4%
2023-12-11T07:19:20.544499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
230
18.4%
경 70
 
5.6%
기 69
 
5.5%
도 65
 
5.2%
시 64
 
5.1%
로 61
 
4.9%
1 53
 
4.2%
2 33
 
2.6%
3 28
 
2.2%
구 27
 
2.2%
Other values (115) 548
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 764
61.2%
Decimal Number 238
 
19.1%
Space Separator 230
 
18.4%
Dash Punctuation 15
 
1.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 70
 
9.2%
기 69
 
9.0%
도 65
 
8.5%
시 64
 
8.4%
로 61
 
8.0%
구 27
 
3.5%
길 27
 
3.5%
번 25
 
3.3%
양 19
 
2.5%
원 17
 
2.2%
Other values (102) 320
41.9%
Decimal Number
ValueCountFrequency (%)
1 53
22.3%
2 33
13.9%
3 28
11.8%
5 26
10.9%
4 26
10.9%
9 17
 
7.1%
7 15
 
6.3%
6 15
 
6.3%
0 13
 
5.5%
8 12
 
5.0%
Space Separator
ValueCountFrequency (%)
230
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 764
61.2%
Common 484
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 70
 
9.2%
기 69
 
9.0%
도 65
 
8.5%
시 64
 
8.4%
로 61
 
8.0%
구 27
 
3.5%
길 27
 
3.5%
번 25
 
3.3%
양 19
 
2.5%
원 17
 
2.2%
Other values (102) 320
41.9%
Common
ValueCountFrequency (%)
230
47.5%
1 53
 
11.0%
2 33
 
6.8%
3 28
 
5.8%
5 26
 
5.4%
4 26
 
5.4%
9 17
 
3.5%
7 15
 
3.1%
6 15
 
3.1%
- 15
 
3.1%
Other values (3) 26
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 764
61.2%
ASCII 484
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
230
47.5%
1 53
 
11.0%
2 33
 
6.8%
3 28
 
5.8%
5 26
 
5.4%
4 26
 
5.4%
9 17
 
3.5%
7 15
 
3.1%
6 15
 
3.1%
- 15
 
3.1%
Other values (3) 26
 
5.4%
Hangul
ValueCountFrequency (%)
경 70
 
9.2%
기 69
 
9.0%
도 65
 
8.5%
시 64
 
8.4%
로 61
 
8.0%
구 27
 
3.5%
길 27
 
3.5%
번 25
 
3.3%
양 19
 
2.5%
원 17
 
2.2%
Other values (102) 320
41.9%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct62
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13958.262
Minimum10092
Maximum18274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T07:19:20.657532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10092
5-th percentile10386.2
Q111709
median13828
Q316408
95-th percentile17838.6
Maximum18274
Range8182
Interquartile range (IQR)4699

Descriptive statistics

Standard deviation2563.2333
Coefficient of variation (CV)0.18363557
Kurtosis-1.4257855
Mean13958.262
Median Absolute Deviation (MAD)2405
Skewness0.09124484
Sum907287
Variance6570164.8
MonotonicityNot monotonic
2023-12-11T07:19:20.764561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11709 2
 
3.1%
13828 2
 
3.1%
11773 2
 
3.1%
12411 1
 
1.5%
17038 1
 
1.5%
15055 1
 
1.5%
15362 1
 
1.5%
17589 1
 
1.5%
14000 1
 
1.5%
14086 1
 
1.5%
Other values (52) 52
80.0%
ValueCountFrequency (%)
10092 1
1.5%
10325 1
1.5%
10383 1
1.5%
10386 1
1.5%
10387 1
1.5%
10446 1
1.5%
10477 1
1.5%
10575 1
1.5%
10922 1
1.5%
10937 1
1.5%
ValueCountFrequency (%)
18274 1
1.5%
18258 1
1.5%
18131 1
1.5%
17901 1
1.5%
17589 1
1.5%
17376 1
1.5%
17320 1
1.5%
17038 1
1.5%
17006 1
1.5%
16995 1
1.5%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.469493
Minimum36.992297
Maximum38.015144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T07:19:20.871951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.992297
5-th percentile37.202397
Q137.284556
median37.415948
Q337.669381
95-th percentile37.870312
Maximum38.015144
Range1.0228464
Interquartile range (IQR)0.38482467

Descriptive statistics

Standard deviation0.2322435
Coefficient of variation (CV)0.0061982023
Kurtosis-0.64562898
Mean37.469493
Median Absolute Deviation (MAD)0.15081666
Skewness0.36044104
Sum2435.5171
Variance0.053937043
MonotonicityNot monotonic
2023-12-11T07:19:20.976633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7164081 2
 
3.1%
37.74966582 2
 
3.1%
37.8314548 1
 
1.5%
37.66938073 1
 
1.5%
37.27778832 1
 
1.5%
37.34767297 1
 
1.5%
37.31601512 1
 
1.5%
37.00988521 1
 
1.5%
37.39387889 1
 
1.5%
37.3904231 1
 
1.5%
Other values (53) 53
81.5%
ValueCountFrequency (%)
36.99229719 1
1.5%
37.00988521 1
1.5%
37.15685942 1
1.5%
37.19990791 1
1.5%
37.21235467 1
1.5%
37.23939568 1
1.5%
37.25146947 1
1.5%
37.25910237 1
1.5%
37.26050262 1
1.5%
37.26513146 1
1.5%
ValueCountFrequency (%)
38.01514362 1
1.5%
37.93739621 1
1.5%
37.90605044 1
1.5%
37.88002579 1
1.5%
37.8314548 1
1.5%
37.80136368 1
1.5%
37.75484597 1
1.5%
37.74966582 2
3.1%
37.74369422 1
1.5%
37.73652654 1
1.5%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.04626
Minimum126.7082
Maximum127.64193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T07:19:21.083421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.7082
5-th percentile126.74978
Q1126.89383
median127.02673
Q3127.15124
95-th percentile127.51817
Maximum127.64193
Range0.9337333
Interquartile range (IQR)0.2574111

Descriptive statistics

Standard deviation0.23103789
Coefficient of variation (CV)0.0018185335
Kurtosis0.65671691
Mean127.04626
Median Absolute Deviation (MAD)0.1318655
Skewness0.92355421
Sum8258.0071
Variance0.053378505
MonotonicityNot monotonic
2023-12-11T07:19:21.224847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0474875 2
 
3.1%
127.0787963 2
 
3.1%
127.5188641 1
 
1.5%
126.7638789 1
 
1.5%
127.0358234 1
 
1.5%
126.741154 1
 
1.5%
126.8384949 1
 
1.5%
127.2731683 1
 
1.5%
126.9216262 1
 
1.5%
126.9339324 1
 
1.5%
Other values (53) 53
81.5%
ValueCountFrequency (%)
126.7081973 1
1.5%
126.741154 1
1.5%
126.7428411 1
1.5%
126.7494512 1
1.5%
126.7510817 1
1.5%
126.7589778 1
1.5%
126.7638789 1
1.5%
126.7773931 1
1.5%
126.786022 1
1.5%
126.790806 1
1.5%
ValueCountFrequency (%)
127.6419306 1
1.5%
127.6399067 1
1.5%
127.6327976 1
1.5%
127.5188641 1
1.5%
127.5153869 1
1.5%
127.505351 1
1.5%
127.4269271 1
1.5%
127.2731683 1
1.5%
127.2533483 1
1.5%
127.2389238 1
1.5%

전화번호정보
Text

Distinct60
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-11T07:19:21.408532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.969231
Min length9

Characters and Unicode

Total characters778
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

Unique57 ?
Unique (%)87.7%

Sample

1st row031-582-0790
2nd row031-911-8080
3rd row031-905-7549
4th row031-790-0595
5th row070-8875-0899
ValueCountFrequency (%)
000-000-0000 4
 
6.2%
031-853-6724 2
 
3.1%
031-882-0747 2
 
3.1%
031-794-1348 1
 
1.5%
031-531-6369 1
 
1.5%
031-334-3457 1
 
1.5%
031-356-1462 1
 
1.5%
031-247-9337 1
 
1.5%
031-222-8933 1
 
1.5%
031-216-8661 1
 
1.5%
Other values (50) 50
76.9%
2023-12-11T07:19:21.747690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 146
18.8%
- 129
16.6%
3 98
12.6%
1 88
11.3%
2 56
 
7.2%
9 54
 
6.9%
7 46
 
5.9%
5 45
 
5.8%
8 43
 
5.5%
4 41
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 649
83.4%
Dash Punctuation 129
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 146
22.5%
3 98
15.1%
1 88
13.6%
2 56
 
8.6%
9 54
 
8.3%
7 46
 
7.1%
5 45
 
6.9%
8 43
 
6.6%
4 41
 
6.3%
6 32
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 778
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 146
18.8%
- 129
16.6%
3 98
12.6%
1 88
11.3%
2 56
 
7.2%
9 54
 
6.9%
7 46
 
5.9%
5 45
 
5.8%
8 43
 
5.5%
4 41
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 778
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 146
18.8%
- 129
16.6%
3 98
12.6%
1 88
11.3%
2 56
 
7.2%
9 54
 
6.9%
7 46
 
5.9%
5 45
 
5.8%
8 43
 
5.5%
4 41
 
5.3%

홈페이지URL
Text

Distinct40
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-11T07:19:21.916093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length18.784615
Min length4

Characters and Unicode

Total characters1221
Distinct characters42
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)58.5%

Sample

1st rowhttp://www.kappd7.or.kr/
2nd rowwww.gycil.or.kr
3rd rowwww.
4th rowwww.
5th rowhttp://www.thankyousenior.com/
ValueCountFrequency (%)
www 25
38.5%
https://blog.naver.com/gjcityi 2
 
3.1%
www.warmhand.or.kr 1
 
1.5%
http://www.kappd7.or.kr 1
 
1.5%
http://www.seoum.org 1
 
1.5%
http://www.xn--w52bz7anz3b.com 1
 
1.5%
http://blog.naver.com/juck0817 1
 
1.5%
https://cafe.daum.net/ycilcenter 1
 
1.5%
http://www.kappdyi.or.kr 1
 
1.5%
http://www.ycil.or.kr 1
 
1.5%
Other values (30) 30
46.2%
2023-12-11T07:19:22.195751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 150
 
12.3%
. 127
 
10.4%
/ 116
 
9.5%
t 92
 
7.5%
p 69
 
5.7%
r 58
 
4.8%
o 56
 
4.6%
a 51
 
4.2%
h 48
 
3.9%
e 40
 
3.3%
Other values (32) 414
33.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 900
73.7%
Other Punctuation 280
 
22.9%
Decimal Number 35
 
2.9%
Connector Punctuation 2
 
0.2%
Dash Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 150
16.7%
t 92
 
10.2%
p 69
 
7.7%
r 58
 
6.4%
o 56
 
6.2%
a 51
 
5.7%
h 48
 
5.3%
e 40
 
4.4%
n 39
 
4.3%
c 38
 
4.2%
Other values (15) 259
28.8%
Decimal Number
ValueCountFrequency (%)
0 7
20.0%
7 5
14.3%
1 5
14.3%
3 4
11.4%
2 4
11.4%
8 4
11.4%
5 3
8.6%
4 1
 
2.9%
9 1
 
2.9%
6 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 127
45.4%
/ 116
41.4%
: 37
 
13.2%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
L 1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 902
73.9%
Common 319
 
26.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 150
16.6%
t 92
 
10.2%
p 69
 
7.6%
r 58
 
6.4%
o 56
 
6.2%
a 51
 
5.7%
h 48
 
5.3%
e 40
 
4.4%
n 39
 
4.3%
c 38
 
4.2%
Other values (17) 261
28.9%
Common
ValueCountFrequency (%)
. 127
39.8%
/ 116
36.4%
: 37
 
11.6%
0 7
 
2.2%
7 5
 
1.6%
1 5
 
1.6%
3 4
 
1.3%
2 4
 
1.3%
8 4
 
1.3%
5 3
 
0.9%
Other values (5) 7
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1221
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 150
 
12.3%
. 127
 
10.4%
/ 116
 
9.5%
t 92
 
7.5%
p 69
 
5.7%
r 58
 
4.8%
o 56
 
4.6%
a 51
 
4.2%
h 48
 
3.9%
e 40
 
3.3%
Other values (32) 414
33.9%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

Interactions

2023-12-11T07:19:18.427868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:19:18.071970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:19:18.250443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:19:18.486427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:19:18.128643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:19:18.308354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:19:18.549445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:19:18.190774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:19:18.369816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:19:22.275526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호정보홈페이지URL
시군명1.0000.9830.9830.9830.9980.9950.9570.9920.975
기관명0.9831.0001.0001.0001.0001.0001.0001.0000.996
소재지지번주소0.9831.0001.0001.0001.0001.0001.0001.0000.996
소재지도로명주소0.9831.0001.0001.0001.0001.0001.0001.0000.996
소재지우편번호0.9981.0001.0001.0001.0000.9140.7690.9870.746
WGS84위도0.9951.0001.0001.0000.9141.0000.6280.9950.000
WGS84경도0.9571.0001.0001.0000.7690.6281.0001.0000.862
전화번호정보0.9921.0001.0001.0000.9870.9951.0001.0000.992
홈페이지URL0.9750.9960.9960.9960.7460.0000.8620.9921.000
2023-12-11T07:19:22.372625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명
소재지우편번호1.000-0.9020.1880.719
WGS84위도-0.9021.000-0.1400.750
WGS84경도0.188-0.1401.0000.593
시군명0.7190.7500.5931.000

Missing values

2023-12-11T07:19:18.631008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:19:18.745147image/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

시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호정보홈페이지URL비고
0가평군경기도지체장애인협회 가평군지회경기도 가평군 가평읍 읍내리 300-3번지경기도 가평군 가평읍 보납로 741241137.831455127.518864031-582-0790http://www.kappd7.or.kr/<NA>
1고양시고양시장애인자립생활센터경기도 고양시 일산서구 주엽동 72-2번지경기도 고양시 일산서구 중앙로 14061038637.669381126.763879031-911-8080www.gycil.or.kr<NA>
2고양시나우의료기경기도 고양시 일산동구 백석동 1248번지경기도 고양시 일산동구 강송로73번길 7-191044637.645841126.790806031-905-7549www.<NA>
3고양시니씬경기도 고양시 덕양구 오금동 686번지경기도 고양시 덕양구 삼막3길 51057537.66766126.920755031-790-0595www.<NA>
4고양시땡큐시니어 건강의료기경기도 고양시 일산서구 대화동 2252-10번지경기도 고양시 일산서구 호수로856번길 65-11038337.67322126.749451070-8875-0899http://www.thankyousenior.com/<NA>
5고양시장애인권익지원협회 고양시지부경기도 고양시 일산서구 주엽동 18번지경기도 고양시 일산서구 주엽로 1501038737.671937126.758978031-924-9500www.<NA>
6고양시장애인복지협회의료기경기도 고양시 덕양구 화정동 902-5번지경기도 고양시 덕양구 화중로 1261047737.638248126.831897031-966-0064www.<NA>
7고양시지성메디칼경기도 고양시 일산동구 식사동 815-2번지경기도 고양시 일산동구 동국로 161032537.675441126.80758031-968-0377www.<NA>
8과천시경기도지체장애인협회 과천시지회경기도 과천시 문원동 31-3번지경기도 과천시 문원로 401382837.428857127.00196802-503-9412https://cafe.daum.net/korea5029410<NA>
9과천시울림터과천시장애인자립생활센터경기도 과천시 문원동 15-11번지경기도 과천시 공원마을1길 541382837.430247127.00247802-502-9415http://wgcil.co.kr/<NA>
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호정보홈페이지URL비고
55의정부시케어플러스경기도 의정부시 용현동 30-27번지경기도 의정부시 충의로57번길 7-71178937.736527127.087008031-824-5222https://blog.naver.com/careplus1<NA>
56이천시경기도지체장애인협회 이천시지회경기도 이천시 중리동 449번지경기도 이천시 서희로 111737637.277937127.426927031-635-1359https://cafe.daum.net/icheon6338850<NA>
57이천시제이엔헬스케어경기도 이천시 부발읍 죽당리 319-27번지경기도 이천시 부발읍 죽당로 227-151732037.281573127.515387070-4323-1580www.<NA>
58파주시경기도지체장애인협회 파주시지회경기도 파주시 금촌동 108-64번지경기도 파주시 황골로 74-131092237.754846126.777393031-944-9595http://www.pjppd.or.kr/<NA>
59파주시파주해바라기 장애인자립생활센터경기도 파주시 조리읍 봉일천리 163경기도 파주시 조리읍 봉일천리 1631093737.743694126.805457031-942-4087https://cafe.naver.com/sunfloweril<NA>
60평택시평택시청경기도 평택시 비전동 846번지경기도 평택시 경기대로 2451790136.992297127.112554031-8024-5000https://www.pyeongtaek.go.kr/main.do<NA>
61포천시포천장애인자립생활센터경기도 포천시 신북면 신평리 605-2번지경기도 포천시 신북면 청신로 20721113837.937396127.219934031-531-6369https://cafe.daum.net/pochonIL<NA>
62하남시경기도지체장애인협회 하남시지회경기도 하남시 신장동 475-31번지경기도 하남시 신장로64번길 61296237.535724127.210599031-794-1348https://blog.daum.net/hanamkripl<NA>
63화성시화성서남부장애인자립생활지원센터경기도 화성시 남양읍 남양리 1365번지경기도 화성시 남양읍 남양성지로 1991825837.212355126.823949031-356-1462https://cafe.daum.net/rgbdaum.net<NA>
64화성시화성시청경기도 화성시 남양읍 남양리 2000번지경기도 화성시 남양읍 시청로 1591827437.199908126.8305621577-4200https://www.hscity.go.kr/www/index.do<NA>