Overview

Dataset statistics

Number of variables9
Number of observations728
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory53.4 KiB
Average record size in memory75.2 B

Variable types

Categorical1
Text5
Numeric3

Dataset

Description발달재활기관 중심 사회서비스제공기관현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=0Y8OK5RSZCKSD0FLJ34B24926677&infSeq=1

Alerts

Dataset has 1 (0.1%) duplicate rowsDuplicates
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

Reproduction

Analysis started2024-04-14 05:01:22.954098
Analysis finished2024-04-14 05:01:25.427688
Duration2.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
용인시
58 
고양시
54 
화성시
52 
수원시
51 
부천시
50 
Other values (26)
463 

Length

Max length4
Median length3
Mean length3.0865385
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
용인시 58
 
8.0%
고양시 54
 
7.4%
화성시 52
 
7.1%
수원시 51
 
7.0%
부천시 50
 
6.9%
성남시 44
 
6.0%
안산시 43
 
5.9%
평택시 35
 
4.8%
의정부시 33
 
4.5%
김포시 33
 
4.5%
Other values (21) 275
37.8%

Length

2024-04-14T14:01:25.480847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용인시 58
 
8.0%
고양시 54
 
7.4%
화성시 52
 
7.1%
수원시 51
 
7.0%
부천시 50
 
6.9%
성남시 44
 
6.0%
안산시 43
 
5.9%
평택시 35
 
4.8%
의정부시 33
 
4.5%
김포시 33
 
4.5%
Other values (21) 275
37.8%

기관명
Text

Distinct717
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-14T14:01:25.644353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length10.482143
Min length3

Characters and Unicode

Total characters7631
Distinct characters428
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique707 ?
Unique (%)97.1%

Sample

1st row가평군장애인복지관
2nd row청평언어치료센터
3rd rowCBC언어심리센터
4th row㈜마인드스토리 심리상담센터
5th row고양시원당종합사회복지관
ValueCountFrequency (%)
아동발달센터 16
 
1.7%
심리상담센터 10
 
1.1%
주식회사 9
 
1.0%
사단법인 5
 
0.5%
사회적협동조합 4
 
0.4%
언어심리상담센터 4
 
0.4%
심리발달센터 4
 
0.4%
아이원언어발달센터 4
 
0.4%
밝은아이아동발달센터 4
 
0.4%
하디아동발달센터 3
 
0.3%
Other values (810) 853
93.1%
2024-04-14T14:01:25.920499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 529
 
6.9%
터 525
 
6.9%
달 370
 
4.8%
발 369
 
4.8%
아 348
 
4.6%
동 304
 
4.0%
리 298
 
3.9%
심 227
 
3.0%
188
 
2.5%
담 153
 
2.0%
Other values (418) 4320
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7264
95.2%
Space Separator 188
 
2.5%
Uppercase Letter 49
 
0.6%
Lowercase Letter 37
 
0.5%
Close Punctuation 32
 
0.4%
Open Punctuation 31
 
0.4%
Other Symbol 14
 
0.2%
Other Punctuation 9
 
0.1%
Decimal Number 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 529
 
7.3%
터 525
 
7.2%
달 370
 
5.1%
발 369
 
5.1%
아 348
 
4.8%
동 304
 
4.2%
리 298
 
4.1%
심 227
 
3.1%
담 153
 
2.1%
소 148
 
2.0%
Other values (382) 3993
55.0%
Uppercase Letter
ValueCountFrequency (%)
A 14
28.6%
B 8
16.3%
C 8
16.3%
S 4
 
8.2%
Y 4
 
8.2%
M 3
 
6.1%
J 2
 
4.1%
K 1
 
2.0%
P 1
 
2.0%
G 1
 
2.0%
Other values (3) 3
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
i 10
27.0%
c 6
16.2%
n 5
13.5%
l 3
 
8.1%
e 3
 
8.1%
w 2
 
5.4%
o 2
 
5.4%
s 1
 
2.7%
r 1
 
2.7%
g 1
 
2.7%
Other values (3) 3
 
8.1%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
0 1
 
14.3%
1 1
 
14.3%
3 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
& 7
77.8%
, 2
 
22.2%
Space Separator
ValueCountFrequency (%)
188
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7278
95.4%
Common 267
 
3.5%
Latin 86
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 529
 
7.3%
터 525
 
7.2%
달 370
 
5.1%
발 369
 
5.1%
아 348
 
4.8%
동 304
 
4.2%
리 298
 
4.1%
심 227
 
3.1%
담 153
 
2.1%
소 148
 
2.0%
Other values (383) 4007
55.1%
Latin
ValueCountFrequency (%)
A 14
16.3%
i 10
11.6%
B 8
 
9.3%
C 8
 
9.3%
c 6
 
7.0%
n 5
 
5.8%
S 4
 
4.7%
Y 4
 
4.7%
l 3
 
3.5%
e 3
 
3.5%
Other values (16) 21
24.4%
Common
ValueCountFrequency (%)
188
70.4%
) 32
 
12.0%
( 31
 
11.6%
& 7
 
2.6%
2 4
 
1.5%
, 2
 
0.7%
0 1
 
0.4%
1 1
 
0.4%
3 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7264
95.2%
ASCII 353
 
4.6%
None 14
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 529
 
7.3%
터 525
 
7.2%
달 370
 
5.1%
발 369
 
5.1%
아 348
 
4.8%
동 304
 
4.2%
리 298
 
4.1%
심 227
 
3.1%
담 153
 
2.1%
소 148
 
2.0%
Other values (382) 3993
55.0%
ASCII
ValueCountFrequency (%)
188
53.3%
) 32
 
9.1%
( 31
 
8.8%
A 14
 
4.0%
i 10
 
2.8%
B 8
 
2.3%
C 8
 
2.3%
& 7
 
2.0%
c 6
 
1.7%
n 5
 
1.4%
Other values (25) 44
 
12.5%
None
ValueCountFrequency (%)
㈜ 14
100.0%

소재지지번주소
Text

Distinct690
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-14T14:01:26.153762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32
Mean length21.429945
Min length11

Characters and Unicode

Total characters15601
Distinct characters250
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique655 ?
Unique (%)90.0%

Sample

1st row경기도 가평군 가평읍 읍내리 861번지
2nd row경기도 가평군 청평면 청평리 467번지
3rd row경기도 고양시 일산동구 풍동 1279-3번지
4th row경기도 고양시 덕양구 화정동 975-2번지
5th row경기도 고양시 덕양구 성사동 736-2번지
ValueCountFrequency (%)
경기도 728
 
21.8%
용인시 58
 
1.7%
고양시 54
 
1.6%
화성시 52
 
1.6%
수원시 51
 
1.5%
부천시 50
 
1.5%
성남시 44
 
1.3%
안산시 43
 
1.3%
원미구 36
 
1.1%
평택시 35
 
1.0%
Other values (1051) 2195
65.6%
2024-04-14T14:01:26.484489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2618
 
16.8%
기 773
 
5.0%
지 759
 
4.9%
시 743
 
4.8%
도 742
 
4.8%
동 738
 
4.7%
경 730
 
4.7%
번 725
 
4.6%
1 576
 
3.7%
- 545
 
3.5%
Other values (240) 6652
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9497
60.9%
Decimal Number 2938
 
18.8%
Space Separator 2618
 
16.8%
Dash Punctuation 545
 
3.5%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 773
 
8.1%
지 759
 
8.0%
시 743
 
7.8%
도 742
 
7.8%
동 738
 
7.8%
경 730
 
7.7%
번 725
 
7.6%
구 367
 
3.9%
양 191
 
2.0%
산 165
 
1.7%
Other values (225) 3564
37.5%
Decimal Number
ValueCountFrequency (%)
1 576
19.6%
2 330
11.2%
5 298
10.1%
4 279
9.5%
6 272
9.3%
3 256
8.7%
8 245
8.3%
7 240
8.2%
9 222
 
7.6%
0 220
 
7.5%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
H 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
2618
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 545
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9497
60.9%
Common 6101
39.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 773
 
8.1%
지 759
 
8.0%
시 743
 
7.8%
도 742
 
7.8%
동 738
 
7.8%
경 730
 
7.7%
번 725
 
7.6%
구 367
 
3.9%
양 191
 
2.0%
산 165
 
1.7%
Other values (225) 3564
37.5%
Common
ValueCountFrequency (%)
2618
42.9%
1 576
 
9.4%
- 545
 
8.9%
2 330
 
5.4%
5 298
 
4.9%
4 279
 
4.6%
6 272
 
4.5%
3 256
 
4.2%
8 245
 
4.0%
7 240
 
3.9%
Other values (2) 442
 
7.2%
Latin
ValueCountFrequency (%)
L 1
33.3%
H 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9497
60.9%
ASCII 6104
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2618
42.9%
1 576
 
9.4%
- 545
 
8.9%
2 330
 
5.4%
5 298
 
4.9%
4 279
 
4.6%
6 272
 
4.5%
3 256
 
4.2%
8 245
 
4.0%
7 240
 
3.9%
Other values (5) 445
 
7.3%
Hangul
ValueCountFrequency (%)
기 773
 
8.1%
지 759
 
8.0%
시 743
 
7.8%
도 742
 
7.8%
동 738
 
7.8%
경 730
 
7.7%
번 725
 
7.6%
구 367
 
3.9%
양 191
 
2.0%
산 165
 
1.7%
Other values (225) 3564
37.5%

소재지도로명주소
Text

Distinct692
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-14T14:01:26.739214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length18.885989
Min length13

Characters and Unicode

Total characters13749
Distinct characters262
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

Unique658 ?
Unique (%)90.4%

Sample

1st row경기도 가평군 가평읍 석봉로191번길 65-19
2nd row경기도 가평군 청평면 청평중앙로 47-19
3rd row경기도 고양시 일산동구 숲속마을로 36
4th row경기도 고양시 덕양구 화신로260번길 58
5th row경기도 고양시 덕양구 호국로716번길 13-11
ValueCountFrequency (%)
경기도 728
 
22.0%
용인시 58
 
1.8%
고양시 54
 
1.6%
화성시 52
 
1.6%
수원시 51
 
1.5%
부천시 50
 
1.5%
성남시 44
 
1.3%
안산시 43
 
1.3%
평택시 35
 
1.1%
기흥구 34
 
1.0%
Other values (970) 2156
65.2%
2024-04-14T14:01:27.094223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2582
18.8%
기 770
 
5.6%
시 749
 
5.4%
경 747
 
5.4%
도 745
 
5.4%
로 693
 
5.0%
1 537
 
3.9%
구 348
 
2.5%
2 334
 
2.4%
3 247
 
1.8%
Other values (252) 5997
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8658
63.0%
Space Separator 2582
 
18.8%
Decimal Number 2422
 
17.6%
Dash Punctuation 87
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 770
 
8.9%
시 749
 
8.7%
경 747
 
8.6%
도 745
 
8.6%
로 693
 
8.0%
구 348
 
4.0%
길 230
 
2.7%
양 174
 
2.0%
번 168
 
1.9%
안 162
 
1.9%
Other values (240) 3872
44.7%
Decimal Number
ValueCountFrequency (%)
1 537
22.2%
2 334
13.8%
3 247
10.2%
4 227
9.4%
5 198
 
8.2%
0 194
 
8.0%
7 192
 
7.9%
6 170
 
7.0%
8 163
 
6.7%
9 160
 
6.6%
Space Separator
ValueCountFrequency (%)
2582
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8658
63.0%
Common 5091
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 770
 
8.9%
시 749
 
8.7%
경 747
 
8.6%
도 745
 
8.6%
로 693
 
8.0%
구 348
 
4.0%
길 230
 
2.7%
양 174
 
2.0%
번 168
 
1.9%
안 162
 
1.9%
Other values (240) 3872
44.7%
Common
ValueCountFrequency (%)
2582
50.7%
1 537
 
10.5%
2 334
 
6.6%
3 247
 
4.9%
4 227
 
4.5%
5 198
 
3.9%
0 194
 
3.8%
7 192
 
3.8%
6 170
 
3.3%
8 163
 
3.2%
Other values (2) 247
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8658
63.0%
ASCII 5091
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2582
50.7%
1 537
 
10.5%
2 334
 
6.6%
3 247
 
4.9%
4 227
 
4.5%
5 198
 
3.9%
0 194
 
3.8%
7 192
 
3.8%
6 170
 
3.3%
8 163
 
3.2%
Other values (2) 247
 
4.9%
Hangul
ValueCountFrequency (%)
기 770
 
8.9%
시 749
 
8.7%
경 747
 
8.6%
도 745
 
8.6%
로 693
 
8.0%
구 348
 
4.0%
길 230
 
2.7%
양 174
 
2.0%
번 168
 
1.9%
안 162
 
1.9%
Other values (240) 3872
44.7%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct515
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14334.848
Minimum10019
Maximum18600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-14T14:01:27.204803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10019
5-th percentile10303.7
Q112003.75
median14490
Q316704.25
95-th percentile18412.8
Maximum18600
Range8581
Interquartile range (IQR)4700.5

Descriptive statistics

Standard deviation2624.9636
Coefficient of variation (CV)0.18311765
Kurtosis-1.2248153
Mean14334.848
Median Absolute Deviation (MAD)2351
Skewness-0.043190505
Sum10435769
Variance6890433.7
MonotonicityNot monotonic
2024-04-14T14:01:27.301099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10071 9
 
1.2%
17006 8
 
1.1%
15865 7
 
1.0%
12919 6
 
0.8%
11813 5
 
0.7%
10083 5
 
0.7%
16954 5
 
0.7%
12913 5
 
0.7%
11940 5
 
0.7%
13640 4
 
0.5%
Other values (505) 669
91.9%
ValueCountFrequency (%)
10019 1
 
0.1%
10031 1
 
0.1%
10068 1
 
0.1%
10071 9
1.2%
10073 1
 
0.1%
10078 1
 
0.1%
10083 5
0.7%
10086 2
 
0.3%
10088 1
 
0.1%
10089 1
 
0.1%
ValueCountFrequency (%)
18600 2
0.3%
18588 1
 
0.1%
18505 4
0.5%
18504 1
 
0.1%
18501 1
 
0.1%
18490 1
 
0.1%
18489 1
 
0.1%
18487 1
 
0.1%
18486 1
 
0.1%
18478 3
0.4%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct701
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.432723
Minimum36.951535
Maximum38.03064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-14T14:01:27.402573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.951535
5-th percentile37.055977
Q137.281766
median37.405532
Q337.622508
95-th percentile37.746364
Maximum38.03064
Range1.0791043
Interquartile range (IQR)0.34074204

Descriptive statistics

Standard deviation0.20911848
Coefficient of variation (CV)0.0055865152
Kurtosis-0.54960987
Mean37.432723
Median Absolute Deviation (MAD)0.14163661
Skewness0.018212688
Sum27251.023
Variance0.043730539
MonotonicityNot monotonic
2024-04-14T14:01:27.506010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.49011167 2
 
0.3%
37.31197982 2
 
0.3%
37.36744605 2
 
0.3%
37.28012854 2
 
0.3%
37.16653435 2
 
0.3%
37.44300558 2
 
0.3%
37.39915551 2
 
0.3%
37.1971954 2
 
0.3%
37.42752802 2
 
0.3%
37.35037413 2
 
0.3%
Other values (691) 708
97.3%
ValueCountFrequency (%)
36.95153546 1
0.1%
36.97810083 1
0.1%
36.97865231 1
0.1%
36.97867953 1
0.1%
36.98312531 1
0.1%
36.98489791 1
0.1%
36.98814838 1
0.1%
36.98978999 1
0.1%
36.99093985 1
0.1%
36.99094949 1
0.1%
ValueCountFrequency (%)
38.03063979 1
0.1%
38.01524034 1
0.1%
37.90504782 1
0.1%
37.90272434 1
0.1%
37.89654805 1
0.1%
37.89306615 1
0.1%
37.88229073 1
0.1%
37.86776567 1
0.1%
37.86550253 1
0.1%
37.85674879 1
0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct701
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99651
Minimum126.59533
Maximum127.63815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-14T14:01:27.608351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59533
5-th percentile126.72623
Q1126.82425
median127.04178
Q3127.1202
95-th percentile127.25825
Maximum127.63815
Range1.042817
Interquartile range (IQR)0.29595657

Descriptive statistics

Standard deviation0.19143425
Coefficient of variation (CV)0.0015073977
Kurtosis0.22522513
Mean126.99651
Median Absolute Deviation (MAD)0.1210327
Skewness0.36322059
Sum92453.459
Variance0.036647071
MonotonicityNot monotonic
2024-04-14T14:01:27.714730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7534251 2
 
0.3%
126.8278094 2
 
0.3%
126.9548172 2
 
0.3%
127.4465192 2
 
0.3%
127.1072846 2
 
0.3%
126.7927589 2
 
0.3%
126.9354259 2
 
0.3%
127.097762 2
 
0.3%
126.992505 2
 
0.3%
127.1071871 2
 
0.3%
Other values (691) 708
97.3%
ValueCountFrequency (%)
126.5953334 1
0.1%
126.5978618 1
0.1%
126.6246956 1
0.1%
126.6251141 1
0.1%
126.6254986 2
0.3%
126.6261155 1
0.1%
126.6261996 1
0.1%
126.6272428 1
0.1%
126.6273249 1
0.1%
126.6275292 1
0.1%
ValueCountFrequency (%)
127.6381504 1
0.1%
127.636327 1
0.1%
127.6348304 1
0.1%
127.6344095 1
0.1%
127.6322639 1
0.1%
127.6207035 1
0.1%
127.5032242 1
0.1%
127.5016364 1
0.1%
127.4987643 1
0.1%
127.4959842 1
0.1%

전화번호
Text

Distinct687
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-14T14:01:27.934672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.114011
Min length11

Characters and Unicode

Total characters8819
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

Unique678 ?
Unique (%)93.1%

Sample

1st row031-581-9785
2nd row000-000-0000
3rd row031-901-5776
4th row031-974-3690
5th row031-966-4007
ValueCountFrequency (%)
000-000-0000 26
 
3.6%
000-0000-0000 10
 
1.4%
031-223-3533 2
 
0.3%
031-8077-2161 2
 
0.3%
031-254-4888 2
 
0.3%
031-638-1804 2
 
0.3%
031-459-8815 2
 
0.3%
031-875-1888 2
 
0.3%
031-442-7792 2
 
0.3%
031-332-7251 1
 
0.1%
Other values (677) 677
93.0%
2024-04-14T14:01:28.264410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1580
17.9%
- 1456
16.5%
3 1109
12.6%
1 994
11.3%
7 665
7.5%
2 632
 
7.2%
5 598
 
6.8%
8 498
 
5.6%
9 460
 
5.2%
4 426
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7363
83.5%
Dash Punctuation 1456
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1580
21.5%
3 1109
15.1%
1 994
13.5%
7 665
9.0%
2 632
 
8.6%
5 598
 
8.1%
8 498
 
6.8%
9 460
 
6.2%
4 426
 
5.8%
6 401
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 1456
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8819
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1580
17.9%
- 1456
16.5%
3 1109
12.6%
1 994
11.3%
7 665
7.5%
2 632
 
7.2%
5 598
 
6.8%
8 498
 
5.6%
9 460
 
5.2%
4 426
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8819
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1580
17.9%
- 1456
16.5%
3 1109
12.6%
1 994
11.3%
7 665
7.5%
2 632
 
7.2%
5 598
 
6.8%
8 498
 
5.6%
9 460
 
5.2%
4 426
 
4.8%

홈페이지URL
Text

Distinct387
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-14T14:01:28.443802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length13.638736
Min length4

Characters and Unicode

Total characters9929
Distinct characters141
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique371 ?
Unique (%)51.0%

Sample

1st rowwww.gapyeongjb.or.kr
2nd rowhttps://cheongpyeong6301.modoo.at/
3rd rowhttp://www.cbcilsan.com/
4th rowWWW.
5th rowwww.wdss.or.kr
ValueCountFrequency (%)
www 329
45.1%
www.igonggan.com 3
 
0.4%
www.parkspeech.com 2
 
0.3%
www.sunslp.co.kr 2
 
0.3%
https://ivision2011.modoo.at 2
 
0.3%
www.anymind.co.kr 2
 
0.3%
www.edenchild.com 2
 
0.3%
www.goodnamoo.co.kr 2
 
0.3%
http://www.slpcenter.co.kr 2
 
0.3%
http://www.haenuri-ct.com 2
 
0.3%
Other values (375) 381
52.3%
2024-04-14T14:01:28.725608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 1700
17.1%
. 1221
 
12.3%
o 664
 
6.7%
t 536
 
5.4%
/ 528
 
5.3%
r 472
 
4.8%
e 400
 
4.0%
a 389
 
3.9%
c 376
 
3.8%
m 369
 
3.7%
Other values (131) 3274
33.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7436
74.9%
Other Punctuation 1930
 
19.4%
Decimal Number 244
 
2.5%
Other Letter 233
 
2.3%
Uppercase Letter 51
 
0.5%
Dash Punctuation 26
 
0.3%
Connector Punctuation 5
 
0.1%
Math Symbol 3
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 14
 
6.0%
리 13
 
5.6%
센 11
 
4.7%
동 11
 
4.7%
터 11
 
4.7%
담 10
 
4.3%
달 9
 
3.9%
상 9
 
3.9%
심 9
 
3.9%
발 8
 
3.4%
Other values (78) 128
54.9%
Lowercase Letter
ValueCountFrequency (%)
w 1700
22.9%
o 664
 
8.9%
t 536
 
7.2%
r 472
 
6.3%
e 400
 
5.4%
a 389
 
5.2%
c 376
 
5.1%
m 369
 
5.0%
n 327
 
4.4%
h 310
 
4.2%
Other values (16) 1893
25.5%
Decimal Number
ValueCountFrequency (%)
1 52
21.3%
0 41
16.8%
2 37
15.2%
7 20
 
8.2%
5 19
 
7.8%
3 18
 
7.4%
9 16
 
6.6%
4 15
 
6.1%
8 14
 
5.7%
6 12
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
W 45
88.2%
A 1
 
2.0%
K 1
 
2.0%
O 1
 
2.0%
L 1
 
2.0%
P 1
 
2.0%
I 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 1221
63.3%
/ 528
27.4%
: 177
 
9.2%
? 2
 
0.1%
# 1
 
0.1%
& 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7487
75.4%
Common 2209
 
22.2%
Hangul 233
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 14
 
6.0%
리 13
 
5.6%
센 11
 
4.7%
동 11
 
4.7%
터 11
 
4.7%
담 10
 
4.3%
달 9
 
3.9%
상 9
 
3.9%
심 9
 
3.9%
발 8
 
3.4%
Other values (78) 128
54.9%
Latin
ValueCountFrequency (%)
w 1700
22.7%
o 664
 
8.9%
t 536
 
7.2%
r 472
 
6.3%
e 400
 
5.3%
a 389
 
5.2%
c 376
 
5.0%
m 369
 
4.9%
n 327
 
4.4%
h 310
 
4.1%
Other values (23) 1944
26.0%
Common
ValueCountFrequency (%)
. 1221
55.3%
/ 528
23.9%
: 177
 
8.0%
1 52
 
2.4%
0 41
 
1.9%
2 37
 
1.7%
- 26
 
1.2%
7 20
 
0.9%
5 19
 
0.9%
3 18
 
0.8%
Other values (10) 70
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9696
97.7%
Hangul 233
 
2.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 1700
17.5%
. 1221
12.6%
o 664
 
6.8%
t 536
 
5.5%
/ 528
 
5.4%
r 472
 
4.9%
e 400
 
4.1%
a 389
 
4.0%
c 376
 
3.9%
m 369
 
3.8%
Other values (43) 3041
31.4%
Hangul
ValueCountFrequency (%)
아 14
 
6.0%
리 13
 
5.6%
센 11
 
4.7%
동 11
 
4.7%
터 11
 
4.7%
담 10
 
4.3%
달 9
 
3.9%
상 9
 
3.9%
심 9
 
3.9%
발 8
 
3.4%
Other values (78) 128
54.9%

Interactions

2024-04-14T14:01:25.062579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:24.574803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:24.832181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:25.125312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:24.685287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:24.920104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:25.192422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:24.755805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T14:01:24.992475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T14:01:28.802457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명소재지우편번호WGS84위도WGS84경도
시군명1.0000.9920.9730.966
소재지우편번호0.9921.0000.9260.875
WGS84위도0.9730.9261.0000.711
WGS84경도0.9660.8750.7111.000
2024-04-14T14:01:28.872091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명
소재지우편번호1.000-0.9250.2680.918
WGS84위도-0.9251.000-0.2610.814
WGS84경도0.268-0.2611.0000.782
시군명0.9180.8140.7821.000

Missing values

2024-04-14T14:01:25.280992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T14:01:25.384526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
0가평군가평군장애인복지관경기도 가평군 가평읍 읍내리 861번지경기도 가평군 가평읍 석봉로191번길 65-191241437.831141127.501636031-581-9785www.gapyeongjb.or.kr
1가평군청평언어치료센터경기도 가평군 청평면 청평리 467번지경기도 가평군 청평면 청평중앙로 47-191245237.738557127.419826000-000-0000https://cheongpyeong6301.modoo.at/
2고양시CBC언어심리센터경기도 고양시 일산동구 풍동 1279-3번지경기도 고양시 일산동구 숲속마을로 361030637.667362126.799366031-901-5776http://www.cbcilsan.com/
3고양시㈜마인드스토리 심리상담센터경기도 고양시 덕양구 화정동 975-2번지경기도 고양시 덕양구 화신로260번길 581050037.633301126.833326031-974-3690WWW.
4고양시고양시원당종합사회복지관경기도 고양시 덕양구 성사동 736-2번지경기도 고양시 덕양구 호국로716번길 13-111046937.651584126.832865031-966-4007www.wdss.or.kr
5고양시공감심리상담센터경기도 고양시 일산서구 일산동 1062-1번지경기도 고양시 일산서구 일산로 5551037537.678021126.76622031-919-5575http://www.gong-gam.kr
6고양시김선해언어연구원경기도 고양시 일산동구 마두동 902번지경기도 고양시 일산동구 일산로286번길 19-131041237.662248126.786738031-907-9664www.mylanguage.or.kr
7고양시나무아동청소년상담센터경기도 고양시 일산서구 주엽동 72-2번지경기도 고양시 일산서구 중앙로 14061038637.669381126.763879031-915-0175www.
8고양시네오짐경기도 고양시 일산동구 중산동 25-113번지경기도 고양시 일산동구 약산길 21031937.679272126.79245031-818-6194www.
9고양시늘 심리발달센터경기도 고양시 덕양구 향동동 529번지경기도 고양시 덕양구 꽃마을로 41054637.598935126.89240202-3159-0036https://m.blog.naver.com/PostList.naver?blogId=always0036
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
718화성시하디아동청소년발달센터 반월3호점경기도 화성시 반월동 83번지경기도 화성시 영통로26번길 201838037.233852127.066238031-206-8992www.
719화성시한국아동청소년발달센터 동탄연구소경기도 화성시 영천동 835-1번지경기도 화성시 동탄기흥로 6141846937.215097127.094996070-4223-4023www.
720화성시해늘언어인지심리발달센터경기도 화성시 오산동 1017번지 동탄2 LH C26단지경기도 화성시 동탄기흥로277번길 121848737.185629127.0921031-8058-9796www.
721화성시해바다언어심리센터경기도 화성시 향남읍 행정리 487-2번지경기도 화성시 향남읍 발안로 1121860037.131047126.922484070-5222-7592www.
722화성시행복나무경기도 화성시 봉담읍 동화리 359-3번지경기도 화성시 봉담읍 삼천병마로 13401830337.224254126.953302031-298-9124www.
723화성시화성봉담언어&심리센터경기도 화성시 봉담읍 동화리 599-2번지경기도 화성시 봉담읍 동화길 851830237.216949126.958382031-227-7578www.화성봉담언어심리치료.com/
724화성시화성시동탄아르딤복지관경기도 화성시 산척동 676번지경기도 화성시 동탄대로10길 17-121848937.176722127.107806031-8077-0800https://www.dt-ardim.or.kr/
725화성시화성시아르딤복지관경기도 화성시 향남읍 도이리 220-20번지경기도 화성시 향남읍 도이1길 1041858837.136446126.920642031-5183-8900https://www.ardim.or.kr/#page5
726화성시화성행복한아동발달센터경기도 화성시 진안동 914-6번지경기도 화성시 효행로 10691839837.215244127.043657031-234-1333www.koreachildren.com
727화성시희망찬i심리발달센터경기도 화성시 반송동 217-1번지경기도 화성시 동탄솔빛로 621844237.193977127.074309031-8015-5457https://blog.naver.com/kjt4201

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0이천시㈜엔스텝경기도 이천시 창전동 165-1번지경기도 이천시 이섭대천로 12291736937.280129127.446519031-638-1804http://www.n-steps.or.kr/2